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  <b>Trained by <a href="https://jina.ai/"><b>Jina AI</b></a>.</b>
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  </p>
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  # Intro
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@@ -72,3 +74,9 @@ outputs = model.generate(inputs, max_new_tokens=1024, temperature=0, do_sample=F
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  print(tokenizer.decode(outputs[0]))
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  ```
 
 
 
 
 
 
 
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  <b>Trained by <a href="https://jina.ai/"><b>Jina AI</b></a>.</b>
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  </p>
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+ [Blog](https://jina.ai/news/reader-lm-small-language-models-for-cleaning-and-converting-html-to-markdown) | [Colab](https://colab.research.google.com/drive/1wXWyj5hOxEHY6WeHbOwEzYAC0WB1I5uA)
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  # Intro
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  print(tokenizer.decode(outputs[0]))
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  ```
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+
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+ ## AWS Sagemaker & Azure Marketplace
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+ [AWS 0.5b](https://aws.amazon.com/marketplace/pp/prodview-nli7b6dueo424?sr=0-1&ref_=beagle&applicationId=AWSMPContessa)
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+ [AWS 1.5b](https://aws.amazon.com/marketplace/pp/prodview-ms27ixcwq3wjk?sr=0-2&ref_=beagle&applicationId=AWSMPContessa)
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+ [Azure 0.5b](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/jinaai.reader-lm-500m)
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+ [Azure 1.5b](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/jinaai.reader-lm-1500m)