Instructions to use Quanult/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Quanult/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Quanult/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Quanult/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Quanult/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a2e0adec87ec168e397b408f7a7c24451f35bb6bb6433570a110bc26dc62d79
- Size of remote file:
- 4.73 kB
- SHA256:
- d4c67c8d6888681ec3e514df935ef8fb5034ded328239996d96478a01ee87785
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