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Commit d797085

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Updated README
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‎README.md

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@@ -665,9 +665,7 @@ passages1 = llama_cpp.passSearch()
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# Call the LlamaX class to define the model. Add the path to your Bert cross-encoder.
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import os
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username = os.getenv("USERNAME")
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modelPath = LlamaX(
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model_path=models(),
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)
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modelPath = LlamaX()
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# Load LlamaCpp GGUF embeddings model and parse in the searchQuery function with the scored passages to generate embeddings
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username = os.getenv("USERNAME")

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