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instruction_template_retrieval_embedding

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sentence-transformers
Safetensors
xlm-roberta
datadreamer
datadreamer-0.46.0
Synthetic
feature-extraction
text-embeddings-inference
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AjayP13 commited on
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Update README.md

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@@ -81,7 +81,7 @@ fashion and appearance, demonstrating how even the most unexpected materials fou
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  # Retrieve relevant instruction templates to different chunks / sections of a document
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  retriever = InstructionTemplateRetriever(
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- coverage_chunks=4, sigma=0.05, alpha=1.0 # 4 chunks/sections
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  )
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  print(json.dumps(retriever.search(document=EXAMPLE_DOC), indent=4))
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  # Retrieve relevant instruction templates to different chunks / sections of a document
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  retriever = InstructionTemplateRetriever(
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+ coverage_chunks=4, sigma=0.05, alpha=1.0 # Ensure instruction templates cover information in the document with 4 chunks/sections
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  )
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  print(json.dumps(retriever.search(document=EXAMPLE_DOC), indent=4))
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