Instructions to use Jasonnn13/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jasonnn13/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Jasonnn13/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Jasonnn13/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Jasonnn13/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c4e4892216ec731896b680f56844e9ce56f09ab3bbfb7f0e655b032de949a50
- Size of remote file:
- 5.14 kB
- SHA256:
- d8ceda2005ac2a861b53d0afd7d4021920d899b268630cc2bfe74c2e11ae3352
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