Instructions to use colbert-ir/colbertv2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use colbert-ir/colbertv2.0 with Transformers:
# Load model directly from transformers import AutoTokenizer, HF_ColBERT tokenizer = AutoTokenizer.from_pretrained("colbert-ir/colbertv2.0") model = HF_ColBERT.from_pretrained("colbert-ir/colbertv2.0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc5fcb2b279826be7211682065ec1ac3fad6fb8b339b2fcbc1eafab41f59a80a
- Size of remote file:
- 436 MB
- SHA256:
- bfe81fa313c4c2a12319ec9ef0cdf1c995daad051e9c5a1fcabcb90feb3c8286
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