Instructions to use Lifan-Z/bert-finetuned-ner-accelerate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lifan-Z/bert-finetuned-ner-accelerate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Lifan-Z/bert-finetuned-ner-accelerate")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Lifan-Z/bert-finetuned-ner-accelerate") model = AutoModelForTokenClassification.from_pretrained("Lifan-Z/bert-finetuned-ner-accelerate") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e2e01f6386c581218e5ad89d26933af26896ee26825767e932f5ce9bba0d381
- Size of remote file:
- 431 MB
- SHA256:
- 106dd4e804688c3a5d801ff0cc1255867745b097803621ae655608014f75c7e4
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