Robotics
Transformers
Safetensors
English
molmoact
image-text-to-text
molmo
olmo
reasoning
vla
manipulation
custom_code
Instructions to use allenai/MolmoAct-7B-D-LIBERO-Object-0812 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/MolmoAct-7B-D-LIBERO-Object-0812 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForImageTextToText model = AutoModelForImageTextToText.from_pretrained("allenai/MolmoAct-7B-D-LIBERO-Object-0812", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from allenai/MolmoAct-7B-D-LIBERO-Object-0812: direct link, hf CLI and curl.
- Browser
- Download file 11.5 MB
-
https://huggingface.co/allenai/MolmoAct-7B-D-LIBERO-Object-0812/resolve/main/tokenizer.json
- Command line
-
hf download hf://allenai/MolmoAct-7B-D-LIBERO-Object-0812/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/allenai/MolmoAct-7B-D-LIBERO-Object-0812/resolve/main/tokenizer.json
11.5 MB
- Xet hash:
- d961702213c1c8daecb0b8918c220867014880c083dd5251a0acddb4b679dec8
- Size of remote file:
- 11.5 MB
- SHA256:
- 70522ad61c51fe8b137105665e222eea81d787e5603c75641b02ba5480628ad6
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