Instructions to use webis/colbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Lightning IR
How to use webis/colbert with Lightning IR:
#install from https://github.com/webis-de/lightning-ir from lightning_ir import BiEncoderModule model = BiEncoderModule("webis/colbert") model.score("query", ["doc1", "doc2", "doc3"]) - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
CHANGED
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@@ -23,7 +23,7 @@
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "col",
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"
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "col",
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"normalization": null,
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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