Robotics
Transformers
Safetensors
internvl_chat
feature-extraction
vision-language-model
manipulation
custom_code
Instructions to use InternRobotics/VLAC-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InternRobotics/VLAC-8b with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InternRobotics/VLAC-8b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from InternRobotics/VLAC-8b: direct link, hf CLI and curl.
- Browser
- Download file 8.25 kB
-
https://huggingface.co/InternRobotics/VLAC-8b/resolve/main/training_args.bin
- Command line
-
hf download hf://InternRobotics/VLAC-8b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/InternRobotics/VLAC-8b/resolve/main/training_args.bin
8.25 kB
- Xet hash:
- 8e81fc05ac15bc5748f6401627cd73eb5286c08e143ccd43285fe69bdbec969e
- Size of remote file:
- 8.25 kB
- SHA256:
- a0a0e0d4cf468fb3b6e65a737821387e71d2981ca3b989b54f995f008a359c17
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