Linq-AI-Research
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Linq-Embed-Mistral

Feature Extraction

sentence-transformers

text-embeddings-inference

Inference Endpoints

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Mayfull commited on May 29

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@@ -73,7 +73,7 @@ embeddings = last_token_pool(outputs.last_hidden_state, batch_dict['attention_ma
 embeddings = F.normalize(embeddings, p=2, dim=1)
 scores = (embeddings[:2] @ embeddings[2:].T) * 100
 print(scores.tolist())
-# [[86.7153549194336, 36.64569091796875], [35.00493621826172, 82.0738525390625]]
 ```
 ### MTEB Benchmark Evaluation

 embeddings = F.normalize(embeddings, p=2, dim=1)
 scores = (embeddings[:2] @ embeddings[2:].T) * 100
 print(scores.tolist())
+# [[73.72909545898438, 30.122783660888672], [29.155078887939453, 79.25374603271484]]
 ```
 ### MTEB Benchmark Evaluation