tomaarsen
/

csr-mxbai-embed-large-v1-nq-no-base-loss

Feature Extraction

sentence-transformers

Generated from Trainer

dataset_size:99000

loss:SparseMultipleNegativesRankingLoss

text-embeddings-inference

Model card Files Files and versions

csr-mxbai-embed-large-v1-nq-no-base-loss / 2_CSRSparsity /model.safetensors

tomaarsen's picture

tomaarsen HF Staff

Add new SparseEncoder model

93b3180 verified 3 months ago

history blame contribute delete

16.8 MB

This file is stored with Xet . It is too big to display, but you can still download it.

Large File Pointer Details

( Raw pointer file )

SHA256:: 9bfab47dac2410eff7c9538ba8040153732609f35428a5833df87f3b74867e58
Pointer size:: 133 Bytes
Size of remote file:: 16.8 MB
Xet backed hash:: 6c07b0a1af388ed36c6b4456a36f3de2b6175e2d36ad26e5152d9d909d2af9b4

Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.