Instructions to use eeshclusive/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eeshclusive/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="eeshclusive/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("eeshclusive/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("eeshclusive/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 757e9225cd0df5d0876c9133ea634f625d70941fc4965b8ac3c2816164ee8078
- Size of remote file:
- 4.54 kB
- SHA256:
- 6ffab13857c8de3d67ebd4a37b1ef0ead823f0be4665e72778af86445dfa7ebc
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