Instructions to use PassbyGrocer/bert_bilstm_crf-ner-weibo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PassbyGrocer/bert_bilstm_crf-ner-weibo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="PassbyGrocer/bert_bilstm_crf-ner-weibo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("PassbyGrocer/bert_bilstm_crf-ner-weibo") model = AutoModelForTokenClassification.from_pretrained("PassbyGrocer/bert_bilstm_crf-ner-weibo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from PassbyGrocer/bert_bilstm_crf-ner-weibo: direct link, hf CLI and curl.
- Browser
- Download file 4.8 kB
-
https://huggingface.co/PassbyGrocer/bert_bilstm_crf-ner-weibo/resolve/main/training_args.bin
- Command line
-
hf download hf://PassbyGrocer/bert_bilstm_crf-ner-weibo/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/PassbyGrocer/bert_bilstm_crf-ner-weibo/resolve/main/training_args.bin
4.8 kB
- Xet hash:
- b0d46a48916f61f2e742c12f3bd29503c24b38db818c8ddfda45de2f2065103f
- Size of remote file:
- 4.8 kB
- SHA256:
- 191d8d8551ac6bffde283665d521db5278234f594bc2ec3aba2a0f2882c3d336
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