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SmolVLM-256M-Instruct

Text Generation

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dragynir commited on Jun 28

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@@ -5,7 +5,7 @@ license: apache-2.0
 This model provides [HuggingFaceTB/SmolVLM-256M-Instruct](https://huggingface.co/HuggingFaceTB/SmolVLM-256M-Instruct) model in tflite format.
 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).
 You need to slightly modify this pipeline to support image as input (see COLAB example below).
-Currently, [AI Edge Torch](https://github.com/google-ai-edge/ai-edge-torch/tree/main/ai_edge_torch/generative/examples) models not supported
 on [MediaPipe LLM Inference API](https://ai.google.dev/edge/mediapipe/solutions/genai/llm_inference),
 for example [qwen_vl model](https://github.com/google-ai-edge/ai-edge-torch/tree/main/ai_edge_torch/generative/examples/qwen_vl),
 that was used as reference to write SmolVLM-256M-Instruct convertation scripts (coming soon).

 This model provides [HuggingFaceTB/SmolVLM-256M-Instruct](https://huggingface.co/HuggingFaceTB/SmolVLM-256M-Instruct) model in tflite format.
 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).
 You need to slightly modify this pipeline to support image as input (see COLAB example below).
+Currently, [AI Edge Torch](https://github.com/google-ai-edge/ai-edge-torch/tree/main/ai_edge_torch/generative/examples) vlms not supported
 on [MediaPipe LLM Inference API](https://ai.google.dev/edge/mediapipe/solutions/genai/llm_inference),
 for example [qwen_vl model](https://github.com/google-ai-edge/ai-edge-torch/tree/main/ai_edge_torch/generative/examples/qwen_vl),
 that was used as reference to write SmolVLM-256M-Instruct convertation scripts (coming soon).