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@@ -28,7 +28,7 @@ that was used as reference to write SmolVLM-256M-Instruct convertation scripts.
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  To fine-tune SmolVLM on a specific task, you can follow [the fine-tuning tutorial](https://github.com/huggingface/smollm/blob/main/vision/finetuning/Smol_VLM_FT.ipynb).
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  Than, you can convert model to TFlite using custom [smalvlm scripts](https://github.com/dragynir/ai-edge-torch-smalvlm/tree/dev/ai_edge_torch/generative/examples/smalvlm) (see Readme.md).
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- Also, you can check official documentation [ai-edge-torch generative](https://github.com/google-ai-edge/ai-edge-torch/tree/main/ai_edge_torch/generative).
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  To fine-tune SmolVLM on a specific task, you can follow [the fine-tuning tutorial](https://github.com/huggingface/smollm/blob/main/vision/finetuning/Smol_VLM_FT.ipynb).
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  Than, you can convert model to TFlite using custom [smalvlm scripts](https://github.com/dragynir/ai-edge-torch-smalvlm/tree/dev/ai_edge_torch/generative/examples/smalvlm) (see Readme.md).
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+ You can also check the official documentation [ai-edge-torch generative](https://github.com/google-ai-edge/ai-edge-torch/tree/main/ai_edge_torch/generative).
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