Instructions to use rmachado23/bert-crf-ner-conll2003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rmachado23/bert-crf-ner-conll2003 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rmachado23/bert-crf-ner-conll2003", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5647f9b013c160a327783d5f58de3a3acb3772cc44b0249f512de14a7c1364b
- Size of remote file:
- 433 MB
- SHA256:
- 1906bccbb1005c1cbe3d21d5bea305c1c69fc08fc54528d1650b06f174b83739
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