Robotics
Transformers
Safetensors
English
molmoact2
image-text-to-text
OpenRAL
rskill
vision-language-action
nf4
4-bit precision
so100_follower
so101_follower
vla
so101
so100
manipulation
custom_code
8-bit precision
Instructions to use OpenRAL/rskill-molmoact2-multi-so101-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenRAL/rskill-molmoact2-multi-so101-nf4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForImageTextToText model = AutoModelForImageTextToText.from_pretrained("OpenRAL/rskill-molmoact2-multi-so101-nf4", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from OpenRAL/rskill-molmoact2-multi-so101-nf4: direct link, hf CLI and curl.
- Browser
- Download file 116 Bytes
-
https://huggingface.co/OpenRAL/rskill-molmoact2-multi-so101-nf4/resolve/main/generation_config.json
- Command line
-
hf download hf://OpenRAL/rskill-molmoact2-multi-so101-nf4/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/OpenRAL/rskill-molmoact2-multi-so101-nf4/resolve/main/generation_config.json
116 Bytes
| { | |
| "bos_token_id": 151645, | |
| "eos_token_id": 151645, | |
| "pad_token_id": 151643, | |
| "transformers_version": "5.3.0" | |
| } | |