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:
# pip install -U transformers accelerate # 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 model.safetensors from InternRobotics/VLAC: direct link, hf CLI and curl.
- Browser
- Download file 4.41 GB
-
https://huggingface.co/InternRobotics/VLAC/resolve/main/model.safetensors
- Command line
-
hf download hf://InternRobotics/VLAC/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/InternRobotics/VLAC/resolve/main/model.safetensors
4.41 GB
- Xet hash:
- c1f026158faa8121282a7e192dbdf4c1fcb5ac0a3f482111f7d58a2fd1ca957c
- Size of remote file:
- 4.41 GB
- SHA256:
- 7e79a3b442ac9a1803a703f7ad33dbca74ad935fc280f14f0e2cc50d5371cd3b
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