Instructions to use Hatman/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hatman/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Hatman/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Hatman/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Hatman/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 687291421e8ea0f148cbc249431da80f3be6227e8ccbe4287c8990ae0b9395c0
- Size of remote file:
- 3.52 kB
- SHA256:
- 98279238c3c29582287c1792f8f9c9cf74cae4d9e1f1a8dc2dda019fef7e6115
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