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Update README.md

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@@ -12,7 +12,7 @@ license: apache-2.0
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  <b>The crispy rerank family from <a href="https://mixedbread.ai"><b>Mixedbread</b></a>.</b>
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  </p>
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- # mxbai-colbert-v1
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  This is our first English ColBERT model, which is built upon our sentence embedding model [mixedbread-ai/mxbai-embed-large-v1](https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1).
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  You can learn more about the models in our [blog post](https://www.mixedbread.ai/blog/mxbai-colbert-large-v1).
@@ -32,7 +32,7 @@ pip install ragatouille
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  from ragatouille import RAGPretrainedModel
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  # Let's create a ragatouille instance
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- RAG = RAGPretrainedModel.from_pretrained("mixedbread-ai/mxbai-colbert-v1")
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  documents = [
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  "'To Kill a Mockingbird' is a novel by Harper Lee published in 1960. It was immediately successful, winning the Pulitzer Prize, and has become a classic of modern American literature.",
 
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  <b>The crispy rerank family from <a href="https://mixedbread.ai"><b>Mixedbread</b></a>.</b>
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  </p>
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+ # mixedbread-ai/mxbai-colbert-large-v1
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  This is our first English ColBERT model, which is built upon our sentence embedding model [mixedbread-ai/mxbai-embed-large-v1](https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1).
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  You can learn more about the models in our [blog post](https://www.mixedbread.ai/blog/mxbai-colbert-large-v1).
 
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  from ragatouille import RAGPretrainedModel
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  # Let's create a ragatouille instance
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+ RAG = RAGPretrainedModel.from_pretrained("mixedbread-ai/mxbai-colbert-large-v1")
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  documents = [
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  "'To Kill a Mockingbird' is a novel by Harper Lee published in 1960. It was immediately successful, winning the Pulitzer Prize, and has become a classic of modern American literature.",