Robotics
Transformers
Safetensors
English
molmoact
image-text-to-text
molmo
olmo
reasoning
vla
manipulation
custom_code
Instructions to use allenai/MolmoAct-7B-O-0812 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/MolmoAct-7B-O-0812 with Transformers:
# Load model directly from transformers import AutoModelForImageTextToText model = AutoModelForImageTextToText.from_pretrained("allenai/MolmoAct-7B-O-0812", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f568ee6cb19e8c8ce8535405d8d34c341079099a5daa4dbc19c237c2f7bcc886
- Size of remote file:
- 4.62 GB
- SHA256:
- a772516b69576965758f7683d47a10ef81916bcf7c52e10836329e14524a6ff3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.