Instructions to use liuqi6777/bge-m3-colbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liuqi6777/bge-m3-colbert with Transformers:
# Load model directly from transformers import AutoTokenizer, HF_ColBERT tokenizer = AutoTokenizer.from_pretrained("liuqi6777/bge-m3-colbert") model = HF_ColBERT.from_pretrained("liuqi6777/bge-m3-colbert") - Notebooks
- Google Colab
- Kaggle
A ColBERT-style model for bge-m3 that can be loaded using the oringinal ColBERT code.
Notice that the model's embedding dimension is 1024, which differs from the original ColBERT model (128) and requires larger storage space to index the corpus.
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