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
Browse filesHey team! Congratulations on being among the top 100 trending models in the Hub today.
I have added the `transformers` library tag so that it is:
1. More visible to the Hub
2. Usage becomes easier, as this tag would trigger a "Use the model" in the model card automatically
Some ideas to increase visibility:
1. Add a code snippet for inference inside the README
2. A Hugging Face Space to demo the model
3. An organization blog post that gets the most visibility.
Let me know if you need help in any of the above.
README.md
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- robotics
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- vision-language-action-model
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---
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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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library_name: transformers
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# Model Card for InternVLA-M1
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