sentence-transformers
ONNX
Safetensors
English
bert
ColBERT
multi-vector
RAGatouille
passage-retrieval
Instructions to use answerdotai/answerai-colbert-small-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use answerdotai/answerai-colbert-small-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("answerdotai/answerai-colbert-small-v1") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
remove deprecated pylate assets
Browse files- 1_Dense/config.json +0 -1
- 1_Dense/model.safetensors +0 -3
1_Dense/config.json
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{"in_features": 384, "out_features": 96, "bias": false, "activation_function": "torch.nn.modules.linear.Identity"}
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1_Dense/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:47d2690e7c1612c84b7b941e69a883e99190b9b44ebb0be00152f68966c6eb11
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size 147544
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