Instructions to use Edrex/bert-base-uncased-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Edrex/bert-base-uncased-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Edrex/bert-base-uncased-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Edrex/bert-base-uncased-ner") model = AutoModelForTokenClassification.from_pretrained("Edrex/bert-base-uncased-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1725f1c93456adff31d1c6575a25a3e29cc03fd171ff572759fd25491e204568
- Size of remote file:
- 436 MB
- SHA256:
- 9416f2820a678680eab37d61ca86086d3732a5e1bf17fd4c9c4e48cc6242f88d
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