Instructions to use DangNguyenVan258/out_dir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DangNguyenVan258/out_dir with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DangNguyenVan258/out_dir")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DangNguyenVan258/out_dir") model = AutoModelForTokenClassification.from_pretrained("DangNguyenVan258/out_dir") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c6858e390d18183055d9ae20bdcc3600e34407c7b06120426e613d615ba69f9
- Size of remote file:
- 5.3 kB
- SHA256:
- 2da62a457c7a725bb164ce6bef711ba1465786089efae26e2ee277b359d3eaa2
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