Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use gagan3012/bert-tiny-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gagan3012/bert-tiny-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="gagan3012/bert-tiny-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("gagan3012/bert-tiny-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("gagan3012/bert-tiny-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64da6e011890be6c2a5fdf30c03ae1514904d51d6e7945eb5001edb02baa3cdd
- Size of remote file:
- 2.67 kB
- SHA256:
- cc94c2a921d226dad0960138042fed23d0a6853183d85f5bc223222750f2481a
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