Instructions to use bclavie/MiniColBERTv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bclavie/MiniColBERTv2 with Transformers:
# Load model directly from transformers import AutoTokenizer, HF_ColBERT tokenizer = AutoTokenizer.from_pretrained("bclavie/MiniColBERTv2") model = HF_ColBERT.from_pretrained("bclavie/MiniColBERTv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 684f0edadd956bf3a02b90970cb85be16b164777a16d9647c78ea7dc01b9a994
- Size of remote file:
- 91 MB
- SHA256:
- 4fa15e16161b9afcfd049f4929b9cd440f7c767b6d893f500248e26a7ef84ec1
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