Pushing model, tokenizer and model card
Browse files- README.md +31 -0
- config.json +114 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +58 -0
- vocab.json +0 -0
README.md
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---
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library_name: transformers
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license: mit
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language:
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- en
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metrics:
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- seqeval
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base_model:
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- microsoft/codebert-base
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pipeline_tag: token-classification
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---
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# CodeBERT base for detecting software engineering terminology
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This model detects software engineering terminology in developer forums (e.g., Stack Overflow) as 'Data_Structure', 'Application', 'Code_Block', 'Function", 'Data_Type', 'Language', 'Library', 'Variable', 'Device', 'User_Name', 'User_Interface_Element', 'Class', 'Website', 'Version', 'File_Name', 'File_Type', 'Operating_System', 'Output_Block', 'Algorithm' or 'HTML_XML_Tag'.
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- **Developed by:** Fabian C. Peña, Steffen Herbold
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- **Finetuned from:** [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base)
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- **Replication kit:** [https://github.com/aieng-lab/senlp-benchmark](https://github.com/aieng-lab/senlp-benchmark)
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- **Language:** English
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- **License:** MIT
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## Citation
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```
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@misc{pena2025benchmark,
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author = {Fabian Peña and Steffen Herbold},
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title = {Evaluating Large Language Models on Non-Code Software Engineering Tasks},
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year = {2025}
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}
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```
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config.json
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{
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"_name_or_path": "microsoft/codebert-base",
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"architectures": [
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"RobertaForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "O",
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"1": "B-Data_Structure",
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"2": "I-Data_Structure",
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"3": "B-Application",
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"4": "I-Application",
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"5": "B-Code_Block",
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"6": "I-Code_Block",
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"7": "B-Function",
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"8": "I-Function",
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"9": "B-Data_Type",
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"10": "I-Data_Type",
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"11": "B-Language",
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"12": "I-Language",
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"13": "B-Library",
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"14": "I-Library",
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"15": "B-Variable",
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"16": "I-Variable",
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"17": "B-Device",
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"18": "I-Device",
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"19": "B-User_Name",
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"20": "I-User_Name",
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"21": "B-User_Interface_Element",
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"22": "I-User_Interface_Element",
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"23": "B-Class",
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"24": "I-Class",
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"25": "B-Website",
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"26": "I-Website",
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"27": "B-Version",
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"28": "I-Version",
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"29": "B-File_Name",
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"30": "I-File_Name",
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"31": "B-File_Type",
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"32": "I-File_Type",
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"33": "B-Operating_System",
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"34": "I-Operating_System",
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"35": "B-Output_Block",
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"36": "I-Output_Block",
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"37": "B-Algorithm",
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"38": "I-Algorithm",
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"39": "B-HTML_XML_Tag",
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"40": "I-HTML_XML_Tag"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"B-Algorithm": 37,
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"B-Application": 3,
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"B-Class": 23,
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"B-Code_Block": 5,
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"B-Data_Structure": 1,
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"B-Data_Type": 9,
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"B-Device": 17,
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"B-File_Name": 29,
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"B-File_Type": 31,
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"B-Function": 7,
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"B-HTML_XML_Tag": 39,
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"B-Language": 11,
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"B-Library": 13,
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"B-Operating_System": 33,
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"B-Output_Block": 35,
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"B-User_Interface_Element": 21,
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"B-User_Name": 19,
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"B-Variable": 15,
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"B-Version": 27,
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"B-Website": 25,
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"I-Algorithm": 38,
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"I-Application": 4,
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"I-Class": 24,
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"I-Code_Block": 6,
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"I-Data_Structure": 2,
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"I-Data_Type": 10,
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"I-Device": 18,
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"I-File_Name": 30,
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"I-File_Type": 32,
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"I-Function": 8,
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"I-HTML_XML_Tag": 40,
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"I-Language": 12,
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"I-Library": 14,
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"I-Operating_System": 34,
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"I-Output_Block": 36,
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"I-User_Interface_Element": 22,
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"I-User_Name": 20,
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"I-Variable": 16,
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"I-Version": 28,
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"I-Website": 26,
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"O": 0
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "bfloat16",
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"transformers_version": "4.48.3",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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}
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merges.txt
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8caf3420c30ec0b789bb109e9c0c6b4473f641ec1a3357c54f3c1cba7e4b87b9
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size 248197210
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"cls_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"sep_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"50264": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"cls_token": "<s>",
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"eos_token": "</s>",
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"errors": "replace",
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"extra_special_tokens": {},
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"mask_token": "<mask>",
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"model_max_length": 512,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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"unk_token": "<unk>"
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}
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vocab.json
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