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:
# Load model directly from transformers import AutoTokenizer, ColBERT tokenizer = AutoTokenizer.from_pretrained("vespa-engine/colbert-medium") model = ColBERT.from_pretrained("vespa-engine/colbert-medium") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34f4ac504739a8ad8c41cdfa337211583a223201698d6c60e20ad3bc75c81d50
- Size of remote file:
- 166 MB
- SHA256:
- 15f33bb114e0f9ae177e2eedddd880170300957ddecd2352fd17bda3e6719bd6
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