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Update README.md

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@@ -57,7 +57,7 @@ results = model.rank(query, documents, return_documents=True, top_k=3)
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  ```
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  <details>
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- <summary><h3>Using with JavaScript</h3></summary>
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  Currently, the best way to use our models is with the most recent version of sentence-transformers.
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@@ -68,7 +68,7 @@ Let's say you have a query, and you want to rerank a set of documents. In JavaSc
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  ```javascript
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  import { AutoTokenizer, AutoModelForSequenceClassification } from '@xenova/transformers';
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- const model_id = 'mixedbread-ai/mxbai-rerank-xsmall-v1';
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  const model = await AutoModelForSequenceClassification.from_pretrained(model_id);
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  const tokenizer = await AutoTokenizer.from_pretrained(model_id);
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  ```
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  <details>
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+ <summary>Using with JavaScript</summary>
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  Currently, the best way to use our models is with the most recent version of sentence-transformers.
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  ```javascript
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  import { AutoTokenizer, AutoModelForSequenceClassification } from '@xenova/transformers';
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+ const model_id = 'mixedbread-ai/mxbai-rerank-base-v1';
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  const model = await AutoModelForSequenceClassification.from_pretrained(model_id);
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  const tokenizer = await AutoTokenizer.from_pretrained(model_id);
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