Instructions to use leonpham1208/alpha-ner-bi-transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leonpham1208/alpha-ner-bi-transformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="leonpham1208/alpha-ner-bi-transformer")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("leonpham1208/alpha-ner-bi-transformer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6d499142434a4a66e5662f4fed74f27c37006efeb5c298dc94354a2adcda461
- Size of remote file:
- 611 MB
- SHA256:
- 0a7415e3f25580f23d2828fed1e853f8211d17fb01293b6c369e113bda02b012
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