Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use ManishW/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ManishW/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ManishW/bert-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ManishW/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("ManishW/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Training in progress epoch 1
884c009 -
Training in progress epoch 0
9c7e3b2 -
update model card README.md
5d871a6 -
First training (Trainer class)
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Training in progress, epoch 3
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Training in progress, epoch 2
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Training in progress, epoch 1
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initial commit
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