Instructions to use vsearch/svdr-hlp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vsearch/svdr-hlp with Transformers:
# Load model directly from transformers import Retriever model = Retriever.from_pretrained("vsearch/svdr-hlp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8cde808799ca02dc5462ae4d136da78fa321fc1963984cc73e4f41d5b8cfa5ec
- Size of remote file:
- 436 MB
- SHA256:
- 688af00c95718d7b3f11028cd42b008b1886fa3684fd420c4153acec2bfa63c0
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