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Matisse6410
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MNLP_M2_document_encoder

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sentence-transformers
PyTorch
TensorFlow
Rust
ONNX
Safetensors
OpenVINO
Transformers
English
bert
feature-extraction
text-embeddings-inference
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Matisse6410/MNLP_M2_document_encoder

This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space.

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22.7M params
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I64
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F32
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Datasets used to train Matisse6410/MNLP_M2_document_encoder