Instructions to use dadbear/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dadbear/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dadbear/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dadbear/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("dadbear/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 194cbc178b81b3b675c2475e1a07535ac14144d01751f34d8285ff600b0f6106
- Size of remote file:
- 5.05 kB
- SHA256:
- 9250f2a232e773cc35d6b923c275e6ff3b68d0d2afc6d85a82194795dec70177
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