Instructions to use TULLUS/MolmoAct2-Think with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TULLUS/MolmoAct2-Think with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForImageTextToText model = AutoModelForImageTextToText.from_pretrained("TULLUS/MolmoAct2-Think", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from TULLUS/MolmoAct2-Think: direct link, hf CLI and curl.
- Browser
- Download file 12.2 MB
-
https://huggingface.co/TULLUS/MolmoAct2-Think/resolve/main/tokenizer.json
- Command line
-
hf download hf://TULLUS/MolmoAct2-Think/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/TULLUS/MolmoAct2-Think/resolve/main/tokenizer.json
12.2 MB
- Xet hash:
- 3b9ea3a02c3b805ba8128d7608e5fa0f077cdcbd677381fb5f41a119a8190b8b
- Size of remote file:
- 12.2 MB
- SHA256:
- 8b6aeec78de2b0c7e95d7ae9d71cd04eba3d57351045a86c95520730e9c80d83
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