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Embodied-R1.5

by hugging-appsco.huggingface.hugging-apps/embodied-r1-5

  • Remote endpoint
  • 1 tool
  • embodied_r1_5_predict Run Embodied-R1.5 inference on an image with a text prompt. Upload a scene image and ask the model to plan a robot task, ground an affordance, answer a spatial reasoning question, or point to an object. The model reasons over the visual observation and emits its final answer inside an <answer> tag. If the answer contains 2D points (normalized to [0, 1000]), they are visualized on the image. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool. Returns: Tuple of (raw model output text, visualization image with points, decoded points info).

As the server's own listing gives them. We never call a tool.