Robotics
Transformers
Safetensors
mwm
feature-extraction
vision-language-model
manipulation
custom_code
Instructions to use InternRobotics/F1-VLA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InternRobotics/F1-VLA with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InternRobotics/F1-VLA", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from InternRobotics/F1-VLA: direct link, hf CLI and curl.
- Browser
- Download file 6.46 kB
-
https://huggingface.co/InternRobotics/F1-VLA/resolve/main/training_args.bin
- Command line
-
hf download hf://InternRobotics/F1-VLA/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/InternRobotics/F1-VLA/resolve/main/training_args.bin
6.46 kB
- Xet hash:
- d647cc6dad2ed8babeb1ae234ca76ca1256217fd8a746f04ff735e4f89394cd0
- Size of remote file:
- 6.46 kB
- SHA256:
- 4d845b2e4a7826bbe42519b92e1ba5da6bc86cafed73fc38c1f43529ca568b0e
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