Instructions to use Kevin201217/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kevin201217/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Kevin201217/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Kevin201217/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Kevin201217/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
bert-finetuned-ner / runs /Apr13_03-44-57_441548a08422 /events.out.tfevents.1712979898.441548a08422.2625.2
- Xet hash:
- 2f3e7e5db6ab050257e219db1dbefbea2d7e1ba202e0f99d89ce575e7ce3f3db
- Size of remote file:
- 7.76 kB
- SHA256:
- eb09403686bbaa842d6fd9716bc875b1d6c109ca71bee3042135ae5799e5546a
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