Instructions to use HakHan/Web-DRO-DR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HakHan/Web-DRO-DR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="HakHan/Web-DRO-DR")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("HakHan/Web-DRO-DR") model = AutoModel.from_pretrained("HakHan/Web-DRO-DR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e26e13679c24e822e9cbecef5160a13d1ef8294dcad6262723e776d69973dc2e
- Size of remote file:
- 903 MB
- SHA256:
- ffddda52332b8ec1f69c78638b1663d06251c41e3e51549b99b39d322930bc55
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