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SIRIS-Lab
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affilgood-dense-retriever

Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
Generated from Trainer
dataset_size:47610
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files
xet
 Community
PabloAccuosto commited on
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Update README.md

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@@ -114,7 +114,7 @@ Then you can load this model and run inference.
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  from sentence_transformers import SentenceTransformer
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  # Download from the 🤗 Hub
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- model = SentenceTransformer("sentence_transformers_model_id")
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  # Run inference
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  sentences = [
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  '[MENTION] Hyderabad Cleft Society [COUNTRY] India',
 
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  from sentence_transformers import SentenceTransformer
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  # Download from the 🤗 Hub
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+ model = SentenceTransformer("SIRIS-Lab/affilgood-dense-retriever")
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  # Run inference
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  sentences = [
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  '[MENTION] Hyderabad Cleft Society [COUNTRY] India',