Instructions to use Vasanth/bert-ner-custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vasanth/bert-ner-custom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Vasanth/bert-ner-custom")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Vasanth/bert-ner-custom") model = AutoModelForTokenClassification.from_pretrained("Vasanth/bert-ner-custom", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e97b9836e5a2543f073306e2419c001ecb7e5e270eef4812b1b6452dc1c50321
- Size of remote file:
- 3.96 kB
- SHA256:
- 1f99847ebd768960269066ae23ad70b35ac0fb175fbc5701cb3d47edff181e50
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