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_qwenvl25_3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InternRobotics/RoboInter-VLM_qwenvl25_3b with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("InternRobotics/RoboInter-VLM_qwenvl25_3b") model = AutoModelForMultimodalLM.from_pretrained("InternRobotics/RoboInter-VLM_qwenvl25_3b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from InternRobotics/RoboInter-VLM_qwenvl25_3b: direct link, hf CLI and curl.
- Browser
- Download file 7.42 kB
-
https://huggingface.co/InternRobotics/RoboInter-VLM_qwenvl25_3b/resolve/main/training_args.bin
- Command line
-
hf download hf://InternRobotics/RoboInter-VLM_qwenvl25_3b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/InternRobotics/RoboInter-VLM_qwenvl25_3b/resolve/main/training_args.bin
7.42 kB
- Xet hash:
- e9a42ace166bfa663e47bab156b2f1918b67a5c52c9e8ff281fd28be0d3ffc1a
- Size of remote file:
- 7.42 kB
- SHA256:
- 66a8d5892e4c995c607cb45feeb69243e754640cb03250e107aa9558dfcaa810
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