Instructions to use Shayawn/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shayawn/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Shayawn/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Shayawn/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Shayawn/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b2b1fa126a7d3e2a81b15374687238c3e31b94e74438301a3c29d6f3dadc9b2
- Size of remote file:
- 4.16 kB
- SHA256:
- 6b674af9356987c66240398b3c078e3e36b908f0c405179a8a61881ef6a51299
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