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SmolVLM-256M-Instruct

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  license: apache-2.0
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  ---
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- This model provides [HuggingFaceTB/SmolVLM-256M-Instruct](https://huggingface.co/HuggingFaceTB/SmolVLM-256M-Instruct) model in tflite format.
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  You can use this model with [AI Edge Cpp Example](https://github.com/google-ai-edge/ai-edge-torch/tree/main/ai_edge_torch/generative/examples/cpp).
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  You need to slightly modify cpp pipeline, just send image tensor as input (see COLAB example below).
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- Currently, [AI Edge Torch](https://github.com/google-ai-edge/ai-edge-torch/tree/main/ai_edge_torch/generative/examples) vlms not supported
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  on [MediaPipe LLM Inference API](https://ai.google.dev/edge/mediapipe/solutions/genai/llm_inference),
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  for example [qwen_vl model](https://github.com/google-ai-edge/ai-edge-torch/tree/main/ai_edge_torch/generative/examples/qwen_vl),
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  that was used as reference to write SmolVLM-256M-Instruct convertation scripts.
 
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  license: apache-2.0
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  ---
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+ This model provides [HuggingFaceTB/SmolVLM-256M-Instruct](https://huggingface.co/HuggingFaceTB/SmolVLM-256M-Instruct) model in TFLite format.
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  You can use this model with [AI Edge Cpp Example](https://github.com/google-ai-edge/ai-edge-torch/tree/main/ai_edge_torch/generative/examples/cpp).
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  You need to slightly modify cpp pipeline, just send image tensor as input (see COLAB example below).
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+ Please note that, at the moment, [AI Edge Torch](https://github.com/google-ai-edge/ai-edge-torch/tree/main/ai_edge_torch/generative/examples) VLMS not supported
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  on [MediaPipe LLM Inference API](https://ai.google.dev/edge/mediapipe/solutions/genai/llm_inference),
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  for example [qwen_vl model](https://github.com/google-ai-edge/ai-edge-torch/tree/main/ai_edge_torch/generative/examples/qwen_vl),
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  that was used as reference to write SmolVLM-256M-Instruct convertation scripts.