Instructions to use Vasanth/bert-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vasanth/bert-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Vasanth/bert-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Vasanth/bert-ner") model = AutoModelForTokenClassification.from_pretrained("Vasanth/bert-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69f910c179198975f59d7983d3716641c791d135e2d4f00ec9496bab2a3c8808
- Size of remote file:
- 3.9 kB
- SHA256:
- 36f16f14dfbf9ba0d833b2327cebf25b956a26eeb730d301dc685cc3955acaca
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