Sentence Similarity
sentence-transformers
ONNX
Safetensors
bert
multi-vector
ColBERT
text-embeddings-inference
Instructions to use mixedbread-ai/mxbai-colbert-large-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use mixedbread-ai/mxbai-colbert-large-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mixedbread-ai/mxbai-colbert-large-v1") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Inference
- Notebooks
- Google Colab
- Kaggle
Upload HF_ColBERT
Browse files- config.json +2 -2
- model.safetensors +2 -2
config.json
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{
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"_name_or_path": "mixedbread-ai/mxbai-colbert-v1",
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"architectures": [
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"HF_ColBERT"
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],
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "
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"transformers_version": "4.38.2",
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"type_vocab_size": 2,
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"use_cache": false,
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{
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"_name_or_path": "mixedbread-ai/mxbai-colbert-v1-pre-release",
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"architectures": [
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"HF_ColBERT"
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],
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float16",
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"transformers_version": "4.38.2",
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"type_vocab_size": 2,
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"use_cache": false,
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:1a66baadbcbf529a00cd2fb21c00a5658fbd9a04ae131ec2e4822c10c8327245
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size 670592576
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