Instructions to use vespa-engine/colbert-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vespa-engine/colbert-medium with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, ColBERT tokenizer = AutoTokenizer.from_pretrained("vespa-engine/colbert-medium") model = ColBERT.from_pretrained("vespa-engine/colbert-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#2)
Verified signature- Adding `safetensors` variant of this model (4fa35e5e0dcee2b239141b1de96f82ecca8bee90) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>cf7b48d
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allow flax
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initial commit
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