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
- Xet hash:
- da26dd37e921e3456da6d3b6d4e4cdb437def0912a1a8e1c71b4680ae76b4b3f
- Size of remote file:
- 1.39 GB
- SHA256:
- ff2ae452fc4dd2fc1fc5542321af1acad850d6eeadf27362b2586bac8e1ef379
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