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 generation_config.json from InternRobotics/RoboInter-VLM: direct link, hf CLI and curl.
- Browser
- Download file 260 Bytes
-
https://huggingface.co/InternRobotics/RoboInter-VLM/resolve/main/generation_config.json
- Command line
-
hf download hf://InternRobotics/RoboInter-VLM/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/InternRobotics/RoboInter-VLM/resolve/main/generation_config.json
260 Bytes
| { | |
| "attn_implementation": "flash_attention_2", | |
| "bos_token_id": 151643, | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 151645, | |
| 151643 | |
| ], | |
| "pad_token_id": 151643, | |
| "repetition_penalty": 1.05, | |
| "temperature": 1e-06, | |
| "transformers_version": "4.51.3" | |
| } | |