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  LLaVa, a visual instruction tuned version of LLaMa and other large language models, can now be used natively with the Transformers library.
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- A demo notebook can be found [here](https://colab.research.google.com/drive/1_q7cOB-jCu3RExrkhrgewBR0qKjZr-Sx#scrollTo=PuWVAAOinC8q).
 
 
 
 
 
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  LLaVa, a visual instruction tuned version of LLaMa and other large language models, can now be used natively with the Transformers library.
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+ TRL now includes experimental support for fine-tuning! Find the script [here](https://github.com/huggingface/trl/blob/main/examples/scripts/vsft_llava.py).
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+ A blog post which goes more in detail can be found [here](https://huggingface.co/blog/vlms).
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+ A inference demo notebook can be found [here](https://colab.research.google.com/drive/1_q7cOB-jCu3RExrkhrgewBR0qKjZr-Sx#scrollTo=PuWVAAOinC8q).