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:
- e989940bd6dca0a6706b7bf10d4ec869940a3aadbfb84fe234adfad1607d620c
- Size of remote file:
- 4.54 kB
- SHA256:
- 850181ee205f2499d858402955fa5ae8f978e42e4f6f2fe2ba49bca1e60f4a32
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