Instructions to use NickHai/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NickHai/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="NickHai/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("NickHai/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("NickHai/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5d0c2654edd4e72a979d4ef4207c135ecb32f37204cb11b6babdea207f1ed42
- Size of remote file:
- 862 MB
- SHA256:
- 040bea266986ad0d29df7a3281bcb532304fc654a4ff32db74686db9a3c90611
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