Instructions to use jdavit/bert-finetuned-ner-9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jdavit/bert-finetuned-ner-9 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jdavit/bert-finetuned-ner-9")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jdavit/bert-finetuned-ner-9") model = AutoModelForTokenClassification.from_pretrained("jdavit/bert-finetuned-ner-9", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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initial commit
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