Robotics
Transformers
Safetensors
qwen2_5_vl
image-text-to-text
vision-language-action-model
vision-language-model
text-generation-inference
Instructions to use InternRobotics/InternVLA-M1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InternRobotics/InternVLA-M1 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("InternRobotics/InternVLA-M1") model = AutoModelForImageTextToText.from_pretrained("InternRobotics/InternVLA-M1") - Notebooks
- Google Colab
- Kaggle
Adding `transformers` as the library tag (#1)
Browse files- Adding `transformers` as the library tag (76de22be09b76bd8fe2e64b09692adb3e5b0ea21)
Co-authored-by: Aritra Roy Gosthipaty <ariG23498@users.noreply.huggingface.co>
README.md
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- robotics
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- vision-language-action-model
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- vision-language-model
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# Model Card for InternVLA-M1
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- robotics
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- vision-language-action-model
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- vision-language-model
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library_name: transformers
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# Model Card for InternVLA-M1
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