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8,200 | SteveMama/pegasus-samsum | SteveMama | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,201 | StevenLimcorn/MelayuBERT | StevenLimcorn | bert | 8 | 10 | transformers | 0 | fill-mask | true | true | false | mit | ['ms'] | ['oscar'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'bert', 'fill-mask', 'ms', 'dataset:oscar', 'arxiv:1810.04805', 'transformers', 'melayu-bert', 'license:mit', 'autotrain_compatible'] | false | true | true | 2,058 |
8,202 | StevenLimcorn/indo-roberta-indonli | StevenLimcorn | roberta | 10 | 14 | transformers | 0 | text-classification | true | true | false | mit | ['id'] | ['indonli'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'roberta', 'text-classification', 'id', 'dataset:indonli', 'transformers', 'license:mit'] | false | true | true | 2,952 |
8,203 | StevenLimcorn/indonesian-roberta-base-bapos-tagger | StevenLimcorn | roberta | 9 | 20 | transformers | 0 | token-classification | true | true | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,204 | StevenLimcorn/indonesian-roberta-base-emotion-classifier | StevenLimcorn | roberta | 11 | 1,199 | transformers | 4 | text-classification | true | true | false | mit | ['id'] | ['indonlu'] | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'safetensors', 'roberta', 'text-classification', 'id', 'dataset:indonlu', 'doi:10.57967/hf/0681', 'transformers', 'license:mit', 'has_space'] | false | true | true | 2,593 |
8,205 | StevenLimcorn/wav2vec2-xls-r-300m-zh-TW | StevenLimcorn | wav2vec2 | 21 | 18 | transformers | 1 | automatic-speech-recognition | true | false | false | apache-2.0 | ['zh-TW'] | ['common_voice'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'zh-TW', 'dataset:common_voice', 'transformers', 'common_voice', 'generated_from_trainer', 'license:apache-2.0'] | true | true | true | 4,058 |
8,206 | StevenShoemakerNLP/pitchfork | StevenShoemakerNLP | gpt2 | 9 | 19 | transformers | 0 | text-generation | true | false | true | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'jax', 'gpt2', 'text-generation', 'transformers'] | false | false | false | 0 |
8,207 | Stevenn/test | Stevenn | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,208 | Stevo/DiagloGPT-medium-spamton | Stevo | gpt2 | 11 | 268 | transformers | 1 | conversational | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational'] | false | true | true | 35 |
8,209 | StivenLancheros/mBERT-base-Biomedical-NER | StivenLancheros | bert | 13 | 30 | transformers | 0 | token-classification | true | false | false | apache-2.0 | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'bert', 'token-classification', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'autotrain_compatible'] | true | true | true | 1,816 |
8,210 | StivenLancheros/roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT | StivenLancheros | roberta | 14 | 11 | transformers | 0 | token-classification | true | false | false | apache-2.0 | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'roberta', 'token-classification', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'autotrain_compatible'] | true | true | true | 2,050 |
8,211 | Stoned-Code/DioloGPT-large-Rick-SC-420 | Stoned-Code | null | 2 | 0 | null | 0 | conversational | false | false | false | mit | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['conversational', 'license:mit'] | false | true | false | 0 |
8,212 | Storm-Breaker/NER-Test | Storm-Breaker | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,213 | StormZJ/test1 | StormZJ | bert | 9 | 5 | transformers | 0 | fill-mask | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bert', 'fill-mask', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,214 | Stoyan/Sssdd | Stoyan | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,215 | Strawberrymilkshake/personal_project | Strawberrymilkshake | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,216 | Stu/bert | Stu | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,217 | Stu/model_name | Stu | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,218 | Subfire/testModel | Subfire | null | 2 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | true | 4 |
8,219 | Subhashini17/wav2vec2-large-xls-r-300m-ta-colab-copy | Subhashini17 | null | 5 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,220 | Subhashini17/wav2vec2-large-xls-r-300m-ta-colab-new | Subhashini17 | wav2vec2 | 12 | 6 | transformers | 0 | automatic-speech-recognition | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'transformers'] | false | false | false | 0 |
8,221 | Subhashini17/wav2vec2-large-xls-r-300m-ta-colab-new1 | Subhashini17 | wav2vec2 | 14 | 6 | transformers | 0 | automatic-speech-recognition | true | false | false | apache-2.0 | null | ['common_voice'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'dataset:common_voice', 'transformers', 'generated_from_trainer', 'license:apache-2.0'] | true | true | true | 1,294 |
8,222 | Subhashini17/wav2vec2-large-xls-r-300m-ta-colab | Subhashini17 | wav2vec2 | 11 | 6 | transformers | 0 | automatic-speech-recognition | true | false | false | apache-2.0 | null | ['common_voice'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'wav2vec2', 'automatic-speech-recognition', 'dataset:common_voice', 'transformers', 'generated_from_trainer', 'license:apache-2.0'] | true | true | true | 1,134 |
8,223 | Subhashini17/wav2vec2-large-xls-r-300m-tamil-colab | Subhashini17 | null | 5 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,224 | Subhashini17/wav2vec2-large-xls-r-300m-tamilasr-colab | Subhashini17 | null | 5 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,225 | Subhashini17/wav2vec2-large-xlsr-300m-tamil-colab | Subhashini17 | null | 5 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,226 | Subhrato20/testing-bot-repov2 | Subhrato20 | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,227 | Suchandra/bengali_language_NER | Suchandra | bert | 9 | 52 | transformers | 1 | token-classification | true | false | false | null | ['bn'] | ['wikiann'] | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'safetensors', 'bert', 'token-classification', 'bn', 'dataset:wikiann', 'transformers', 'autotrain_compatible'] | false | true | true | 1,041 |
8,228 | SugarB/SugarB | SugarB | null | 2 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,229 | Suha/mbart50-finetuned-ar-to-ar-accelerate | Suha | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,230 | Suhan/indic-bert-v2 | Suhan | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,231 | Suhanshu/Movie-plot-generator | Suhanshu | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,232 | Summerbud/test | Summerbud | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,233 | Sunbird/sunbert | Sunbird | null | 2 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | true | 2,208 |
8,234 | Sunbird/sunbird-en-lg | Sunbird | marian | 8 | 12 | transformers | 1 | text2text-generation | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'marian', 'text2text-generation', 'transformers', 'autotrain_compatible'] | false | false | true | 35 |
8,235 | Sunbird/sunbird-en-mul | Sunbird | marian | 14 | 25 | transformers | 0 | text2text-generation | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'marian', 'text2text-generation', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,236 | Sunbird/sunbird-mul-en | Sunbird | marian | 15 | 42 | transformers | 0 | text2text-generation | true | false | false | null | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'safetensors', 'marian', 'text2text-generation', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,237 | SunnyS2/Sunny | SunnyS2 | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,238 | Sunnydx/BillCipher | Sunnydx | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,239 | Sunnydx/BillCipherBot | Sunnydx | gpt2 | 11 | 13 | transformers | 0 | conversational | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational'] | false | true | true | 21 |
8,240 | SuperAI2-Machima/mt5-small-thai-qg-v2 | SuperAI2-Machima | mt5 | 9 | 33 | transformers | 2 | text2text-generation | true | false | false | mit | ['thai', 'th'] | ['NSC2018', 'wiki-documents-nsc', 'ThaiQACorpus-DevelopmentDataset'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'mt5', 'text2text-generation', 'thai', 'th', 'dataset:NSC2018', 'dataset:wiki-documents-nsc', 'dataset:ThaiQACorpus-DevelopmentDataset', 'transformers', 'question-generation', 'license:mit', 'autotrain_compatible'] | false | true | true | 1,243 |
8,241 | SuperAI2-Machima/mt5-small-thai-qg | SuperAI2-Machima | mt5 | 9 | 538 | transformers | 4 | text2text-generation | true | false | false | mit | ['thai', 'th'] | ['NSC2018', 'wiki-documents-nsc', 'ThaiQACorpus-DevelopmentDataset'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'mt5', 'text2text-generation', 'thai', 'th', 'dataset:NSC2018', 'dataset:wiki-documents-nsc', 'dataset:ThaiQACorpus-DevelopmentDataset', 'transformers', 'question-generation', 'license:mit', 'autotrain_compatible'] | false | true | true | 1,237 |
8,242 | SuperAI2-Machima/mt5-small-thai-yes-no-qg | SuperAI2-Machima | mt5 | 9 | 14 | transformers | 0 | text2text-generation | true | false | false | mit | ['thai', 'th'] | ['NSC2018', 'wiki-documents-nsc', 'ThaiQACorpus-DevelopmentDataset'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'mt5', 'text2text-generation', 'thai', 'th', 'dataset:NSC2018', 'dataset:wiki-documents-nsc', 'dataset:ThaiQACorpus-DevelopmentDataset', 'transformers', 'Yes No question-generation', 'license:mit', 'autotrain_compatible'] | false | true | true | 1,251 |
8,243 | SuperAI2-Machima/wangchan-finetune-ner-pos-v3 | SuperAI2-Machima | camembert | 6 | 8 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'camembert', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,244 | SuperApril12/TEST | SuperApril12 | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,245 | SuperApril12/hello | SuperApril12 | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,246 | SuperDoge/DialoGPT-small-harrypotter | SuperDoge | gpt2 | 10 | 11 | transformers | 0 | text-generation | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers'] | false | false | false | 0 |
8,247 | Superdooperhero/test1 | Superdooperhero | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,248 | Supiri/t5-base-conversation | Supiri | t5 | 11 | 192 | transformers | 12 | text2text-generation | true | false | false | gpl-3.0 | ['en'] | ['cornell_movie_dialog'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 't5', 'text2text-generation', 'en', 'dataset:cornell_movie_dialog', 'transformers', 'NLP', 'ChatBot', 'Game AI', 'license:gpl-3.0', 'autotrain_compatible', 'has_space'] | false | true | true | 7,207 |
8,249 | SupriyaArun/bert-base-uncased-finetuned-squad-finetuned-squad | SupriyaArun | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,250 | SupriyaArun/bert-base-uncased-finetuned-squad | SupriyaArun | bert | 12 | 10 | transformers | 0 | question-answering | true | false | false | apache-2.0 | null | ['squad'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'bert', 'question-answering', 'dataset:squad', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'autotrain_compatible'] | true | true | true | 1,267 |
8,251 | SupriyaArun/distilbert-base-uncased-finetuned-squad-finetuned-squad | SupriyaArun | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,252 | SupriyaArun/distilbert-base-uncased-finetuned-squad | SupriyaArun | distilbert | 12 | 11 | transformers | 0 | question-answering | true | false | false | apache-2.0 | null | ['squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'distilbert', 'question-answering', 'dataset:squad', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'autotrain_compatible'] | true | true | true | 1,285 |
8,253 | SupriyaArun/squeezebert-uncased-finetuned-squad-finetuned-squad | SupriyaArun | squeezebert | 10 | 8 | transformers | 0 | question-answering | true | false | false | null | null | ['squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'squeezebert', 'question-answering', 'dataset:squad', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 989 |
8,254 | SupriyaArun/squeezebert-uncased-finetuned-squad | SupriyaArun | squeezebert | 12 | 9 | transformers | 0 | question-answering | true | false | false | null | null | ['squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'squeezebert', 'question-answering', 'dataset:squad', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 1,297 |
8,255 | Surabhi/sdr-conversion | Surabhi | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,256 | Surabhi/sentiment | Surabhi | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,257 | Surenis/distilbert-base-uncased-finetuned-squad | Surenis | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,258 | Surfer/bleurt | Surfer | bert | 9 | 3 | transformers | 0 | null | true | false | false | apache-2.0 | ['en'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bert', 'en', 'arxiv:2004.04696', 'transformers', 'license:apache-2.0'] | false | true | true | 1,512 |
8,259 | SurrealEverything/nmt_transformer_align | SurrealEverything | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,260 | SuryA708/Eye-lid | SuryA708 | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,261 | Suva/uptag-email-model-v2 | Suva | t5 | 7 | 10 | transformers | 0 | text2text-generation | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,262 | Suva/uptag-url-model | Suva | t5 | 8 | 8 | transformers | 0 | text2text-generation | true | false | false | mit | null | ['arxiv'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 't5', 'text2text-generation', 'dataset:arxiv', 'transformers', 'license:mit', 'autotrain_compatible'] | false | true | true | 2,041 |
8,263 | Suva/uptag-url-model2 | Suva | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,264 | Suzana/new-york-tokyo-london | Suzana | vit | 9 | 15 | transformers | 1 | image-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'vit', 'image-classification', 'transformers', 'huggingpics', 'model-index', 'autotrain_compatible'] | false | false | false | 0 |
8,265 | SvPolina/t5-small-finetuned-CANARD | SvPolina | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,266 | SvyatoslavA/model_awara_text | SvyatoslavA | bert | 7 | 9 | transformers | 0 | feature-extraction | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bert', 'feature-extraction', 'transformers'] | false | false | false | 0 |
8,267 | SvyatoslavA/model_awara_text_classification | SvyatoslavA | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,268 | Swati/distilbert-base-uncased-finetuned-squad | Swati | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,269 | Swindsea/Swindsea | Swindsea | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,270 | Sxftx/Jungkook | Sxftx | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 3 | 3 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,271 | T-Systems-onsite/bert-german-dbmdz-uncased-sentence-stsb | T-Systems-onsite | bert | 10 | 177 | transformers | 0 | feature-extraction | true | true | true | mit | ['de'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'jax', 'bert', 'feature-extraction', 'de', 'transformers', 'license:mit'] | false | true | true | 374 |
8,272 | T-Systems-onsite/cross-de-es-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 9 | 8 | transformers | 0 | feature-extraction | true | false | false | mit | ['de', 'es'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'de', 'es', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,273 | T-Systems-onsite/cross-de-fr-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 10 | 8 | transformers | 0 | feature-extraction | true | true | false | mit | ['fr', 'de', 'multilingual'] | ['stsb_multi_mt'] | null | 2 | 0 | 2 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'xlm-roberta', 'feature-extraction', 'fr', 'de', 'multilingual', 'dataset:stsb_multi_mt', 'transformers', 'sentence_embedding', 'search', 'roberta', 'xlm-r-distilroberta-base-paraphrase-v1', 'license:mit'] | false | true | true | 57 |
8,274 | T-Systems-onsite/cross-de-it-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 9 | 10 | transformers | 0 | feature-extraction | true | false | false | mit | ['de', 'it'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'de', 'it', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,275 | T-Systems-onsite/cross-de-nl-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 9 | 8 | transformers | 1 | feature-extraction | true | false | false | mit | ['nl', 'de'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'nl', 'de', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,276 | T-Systems-onsite/cross-de-pl-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 9 | 8 | transformers | 0 | feature-extraction | true | false | false | mit | ['de', 'pl'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'de', 'pl', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,277 | T-Systems-onsite/cross-de-pt-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 9 | 8 | transformers | 0 | feature-extraction | true | false | false | mit | ['de', 'pt'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'de', 'pt', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,278 | T-Systems-onsite/cross-de-ru-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 11 | 10 | transformers | 0 | feature-extraction | true | true | false | mit | ['de', 'ru'] | null | null | 3 | 0 | 3 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'safetensors', 'xlm-roberta', 'feature-extraction', 'de', 'ru', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,279 | T-Systems-onsite/cross-de-zh-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 9 | 10 | transformers | 0 | feature-extraction | true | false | false | mit | ['de', 'zh'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'de', 'zh', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,280 | T-Systems-onsite/cross-en-de-es-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 8 | 8 | transformers | 0 | feature-extraction | true | false | false | mit | ['en', 'de', 'es'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'en', 'de', 'es', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,281 | T-Systems-onsite/cross-en-de-fr-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 8 | 12 | transformers | 0 | feature-extraction | true | false | false | mit | ['en', 'de', 'fr'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'en', 'de', 'fr', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,282 | T-Systems-onsite/cross-en-de-it-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 9 | 8 | transformers | 0 | feature-extraction | true | true | false | mit | ['en', 'de', 'it'] | null | null | 2 | 0 | 2 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'xlm-roberta', 'feature-extraction', 'en', 'de', 'it', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,283 | T-Systems-onsite/cross-en-de-nl-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 8 | 8 | transformers | 0 | feature-extraction | true | false | false | mit | ['en', 'de', 'nl'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'en', 'de', 'nl', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,284 | T-Systems-onsite/cross-en-de-pl-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 9 | 11 | transformers | 0 | feature-extraction | true | false | false | mit | ['en', 'de', 'pl'] | null | null | 2 | 0 | 2 | 0 | 0 | 0 | 0 | ['pytorch', 'safetensors', 'xlm-roberta', 'feature-extraction', 'en', 'de', 'pl', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,285 | T-Systems-onsite/cross-en-de-pt-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 9 | 8 | transformers | 0 | feature-extraction | true | false | false | mit | ['en', 'de', 'pt'] | null | null | 2 | 0 | 2 | 0 | 0 | 0 | 0 | ['pytorch', 'safetensors', 'xlm-roberta', 'feature-extraction', 'en', 'de', 'pt', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,286 | T-Systems-onsite/cross-en-de-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 11 | 9,784 | transformers | 23 | feature-extraction | true | true | false | mit | ['de', 'en', 'multilingual'] | ['stsb_multi_mt'] | null | 3 | 0 | 3 | 0 | 2 | 1 | 1 | ['pytorch', 'tf', 'safetensors', 'xlm-roberta', 'feature-extraction', 'de', 'en', 'multilingual', 'dataset:stsb_multi_mt', 'arxiv:1908.10084', 'transformers', 'sentence_embedding', 'search', 'roberta', 'xlm-r-distilroberta-base-paraphrase-v1', 'paraphrase', 'license:mit', 'has_space'] | false | true | true | 7,782 |
8,287 | T-Systems-onsite/cross-en-de-ru-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 8 | 8 | transformers | 0 | feature-extraction | true | false | false | mit | ['en', 'de', 'ru'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'en', 'de', 'ru', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,288 | T-Systems-onsite/cross-en-es-pt-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 9 | 10 | transformers | 1 | feature-extraction | true | true | false | mit | ['en', 'es', 'pt'] | null | null | 2 | 0 | 2 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'xlm-roberta', 'feature-extraction', 'en', 'es', 'pt', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,289 | T-Systems-onsite/cross-en-es-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 9 | 8 | transformers | 0 | feature-extraction | true | false | false | mit | ['en', 'es'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'en', 'es', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,290 | T-Systems-onsite/cross-en-fr-it-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 8 | 8 | transformers | 0 | feature-extraction | true | false | false | mit | ['en', 'fr', 'it'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'en', 'fr', 'it', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,291 | T-Systems-onsite/cross-en-fr-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 11 | 59 | transformers | 0 | feature-extraction | true | true | false | mit | ['fr', 'en', 'multilingual'] | ['stsb_multi_mt'] | null | 3 | 0 | 3 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'safetensors', 'xlm-roberta', 'feature-extraction', 'fr', 'en', 'multilingual', 'dataset:stsb_multi_mt', 'transformers', 'sentence_embedding', 'search', 'roberta', 'xlm-r-distilroberta-base-paraphrase-v1', 'license:mit'] | false | true | true | 58 |
8,292 | T-Systems-onsite/cross-en-it-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 11 | 8 | transformers | 0 | feature-extraction | true | true | false | mit | ['en', 'it'] | null | null | 3 | 0 | 3 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'safetensors', 'xlm-roberta', 'feature-extraction', 'en', 'it', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,293 | T-Systems-onsite/cross-en-nl-fr-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 8 | 8 | transformers | 0 | feature-extraction | true | false | false | mit | ['en', 'nl', 'fr'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'en', 'nl', 'fr', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,294 | T-Systems-onsite/cross-en-nl-it-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 8 | 8 | transformers | 0 | feature-extraction | true | false | false | mit | ['en', 'nl', 'it'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'en', 'nl', 'it', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,295 | T-Systems-onsite/cross-en-nl-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 9 | 8 | transformers | 0 | feature-extraction | true | false | false | mit | ['en', 'nl'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'en', 'nl', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,296 | T-Systems-onsite/cross-en-pl-it-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 8 | 8 | transformers | 0 | feature-extraction | true | false | false | mit | ['en', 'pl', 'it'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'en', 'pl', 'it', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,297 | T-Systems-onsite/cross-en-pl-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 10 | 8 | transformers | 1 | feature-extraction | true | true | false | mit | ['en', 'pl'] | null | null | 2 | 0 | 2 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'xlm-roberta', 'feature-extraction', 'en', 'pl', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,298 | T-Systems-onsite/cross-en-pt-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 9 | 8 | transformers | 0 | feature-extraction | true | false | false | mit | ['en', 'pt'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'en', 'pt', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
8,299 | T-Systems-onsite/cross-en-ru-roberta-sentence-transformer | T-Systems-onsite | xlm-roberta | 9 | 27 | transformers | 0 | feature-extraction | true | false | false | mit | ['en', 'ru'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'en', 'ru', 'transformers', 'sentence_embedding', 'license:mit'] | false | true | false | 0 |
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