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:
- c0e21246c958ed6f5955b8f196e4c37fb55539a5d4c036be13e8b44ba54bda88
- Size of remote file:
- 431 MB
- SHA256:
- d576b0a7e347dcbfa4e92358ff46d8a8d19db06fb5a9b393a98c10de751815a2
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