Instructions to use tyson0420/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tyson0420/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tyson0420/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tyson0420/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("tyson0420/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f324a4adbbe6ecdaaa3b0eadcddf7b1e82725c2fa4ec25e0ab6713b66316b5a
- Size of remote file:
- 3.9 kB
- SHA256:
- 558e127f7ff2b366a4ff74a2b768c5ff5d14462d2bbebc04eaaa465d883e9b84
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