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:
- 430259fce1e28b6fcc9154c4564956fb0c56b7e5275d29d9f8d09a320a1885f5
- Size of remote file:
- 3.31 kB
- SHA256:
- 740ce8e157ff138b20d4473ad0e6224fb7f8b7635e16abf1642f961d6e5cd41c
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