Robotics
Transformers
Safetensors
internvl_chat
feature-extraction
vision-language-model
manipulation
custom_code
Instructions to use InternRobotics/VLAC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InternRobotics/VLAC with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InternRobotics/VLAC", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from InternRobotics/VLAC: direct link, hf CLI and curl.
- Browser
- Download file 8.25 kB
-
https://huggingface.co/InternRobotics/VLAC/resolve/main/training_args.bin
- Command line
-
hf download hf://InternRobotics/VLAC/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/InternRobotics/VLAC/resolve/main/training_args.bin
8.25 kB
- Xet hash:
- efa5a41e36135061c88bc3402fb61da614ab234824b002ace2586b21c1f8beea
- Size of remote file:
- 8.25 kB
- SHA256:
- 7e1e90c645c203fd42bc7ce824e599fe075c751598995a23d63cb020c6f50993
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