Instructions to use Lifan-Z/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lifan-Z/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Lifan-Z/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Lifan-Z/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Lifan-Z/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4968194660ed6648f8b0754f84d3aead7c9b55a4a8edb3642474bc252ea2d4b3
- Size of remote file:
- 431 MB
- SHA256:
- 0852b5da0f4327ef8a266274f2989f4e1773156f62c7b43a5141910bbb38378e
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