Instructions to use keylazy/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keylazy/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="keylazy/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("keylazy/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("keylazy/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a3cab77f285a29bf4ce38456697c39bf3d7d5b20a8c1e096ba5dcf2d40fedc4
- Size of remote file:
- 431 MB
- SHA256:
- e0f72e222e34f548f6f2dd771d12f5c563d14a9571a2009ccb2abae6ca2acd7e
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