Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use amartyobanerjee/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amartyobanerjee/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="amartyobanerjee/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("amartyobanerjee/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("amartyobanerjee/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b0be9c3dd3ed7fcb5e06edcf8842e3aa7a0c4eaa8628fe975fb1eb8c1aa1196
- Size of remote file:
- 431 MB
- SHA256:
- 6534628215fd4174aa2f025f982cb148fd51270bcdc21824d937affd88c559ad
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