Instructions to use rdchambers/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rdchambers/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="rdchambers/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("rdchambers/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("rdchambers/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f96b947e7c3f080525a443e0486f73b8e0b3e5b164c377c68c53a92f60a8b47d
- Size of remote file:
- 3.06 kB
- SHA256:
- 851c73268c478c5d2b32fd32ad85804547e5b91fbf380bea9badf41627c0cd03
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