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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d5cd4eeabf3eda3da6a29c1c5d1e9a9c013e1050fdb45fc37d9a28b1ec1251b
- Size of remote file:
- 438 MB
- SHA256:
- 26e4c2f9f95a3da4442252bb40d99e4fbfd098e733edac1d785c9937b8a278da
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