Instructions to use vespa-engine/col-minilm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vespa-engine/col-minilm with Transformers:
# Load model directly from transformers import AutoTokenizer, ColBERT tokenizer = AutoTokenizer.from_pretrained("vespa-engine/col-minilm") model = ColBERT.from_pretrained("vespa-engine/col-minilm") - Notebooks
- Google Colab
- Kaggle
Upload model_fp16.onnx
Browse files- onnx/model_fp16.onnx +3 -0
onnx/model_fp16.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:a07e0adb07bf671bff07bbd134f54b91bddcfee0950f1a9fc501e361c62890a4
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size 82474799
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