Robotics
Transformers
Safetensors
qwen2_5_vl
image-text-to-text
vision-language-action-model
vision-language-model
text-generation-inference
Instructions to use InternRobotics/RoboInter-VLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InternRobotics/RoboInter-VLM with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("InternRobotics/RoboInter-VLM") model = AutoModelForMultimodalLM.from_pretrained("InternRobotics/RoboInter-VLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from InternRobotics/RoboInter-VLM: direct link, hf CLI and curl.
- Browser
- Download file 7.42 kB
-
https://huggingface.co/InternRobotics/RoboInter-VLM/resolve/main/training_args.bin
- Command line
-
hf download hf://InternRobotics/RoboInter-VLM/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/InternRobotics/RoboInter-VLM/resolve/main/training_args.bin
7.42 kB
- Xet hash:
- 0798bd85138c2a73e28bdf89cabf8e8453d8731c8efa657bf538efce91dd2b84
- Size of remote file:
- 7.42 kB
- SHA256:
- dce401c1eb5224fdff425092068aab240c6ac0a33daae514ce8047c168e81cf1
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