Instructions to use facebook/mcontriever-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mcontriever-msmarco with Transformers:
# Load model directly from transformers import AutoTokenizer, Contriever tokenizer = AutoTokenizer.from_pretrained("facebook/mcontriever-msmarco") model = Contriever.from_pretrained("facebook/mcontriever-msmarco", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5311c2cc2dda2d1adf3356d2787d1191155a036530ddc702c06d043b32124707
- Size of remote file:
- 709 MB
- SHA256:
- 780f0abd4fe8b7d055d177ccad65083857438a033b9ff6744d26718437d1a6b3
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