Instructions to use BillBao/DiffCSE-DistilBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BillBao/DiffCSE-DistilBert with Transformers:
# Load model directly from transformers import AutoTokenizer, DistillForCL tokenizer = AutoTokenizer.from_pretrained("BillBao/DiffCSE-DistilBert") model = DistillForCL.from_pretrained("BillBao/DiffCSE-DistilBert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3f1fff3ba84946c978662227cb3afc32f381fc561df8f3040719db80aa1e760
- Size of remote file:
- 2.03 kB
- SHA256:
- 1f6fc309aa60b2f359686a488f295365f72bc3643c0a5ae3cfa50b93e35c0b76
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