Salesforce
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SFR-Embedding-Mistral

Feature Extraction

sentence-transformers

text-embeddings-inference

Inference Endpoints

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Not able to create Dedicated HF endpoint with [GPU · Nvidia T4 · 4x GPU · 64 GB]

#16 opened 6 months ago by

tokenizer.add_eos_token and maxlength

#15 opened 7 months ago by

size mismatch for layers.31.self_attn.v_proj.weight: copying a param with shape torch.Size([1024, 4096]) from checkpoint, the shape in current model is torch.Size([4096, 4096]).

#14 opened 8 months ago by

How much GPU memory is required for 32k context embedding?

#13 opened 9 months ago by

Recommended infrastructure & text embedding inference (TEI) compatibility

#12 opened 9 months ago by

navaprasannaraj

Finetune

#11 opened 9 months ago by

Does it support Spanish?

#9 opened 9 months ago by

Add torch.no_grad() to the Examples

#8 opened 9 months ago by

Deploy Salesforce/SFR-Embedding-Mistral on HF Inference Endpoint?

#6 opened 9 months ago by

Do you have a quantized version of the model that works with sentence_transformers?

#5 opened 9 months ago by

getting error in transformer tokenizer

#4 opened 9 months ago by

Mistral model embeddings?

#3 opened 9 months ago by

Request: DOI

#2 opened 9 months ago by