Instructions to use allenai/MolmoAct2-Pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/MolmoAct2-Pretrain with Transformers:
# Load model directly from transformers import AutoModelForImageTextToText model = AutoModelForImageTextToText.from_pretrained("allenai/MolmoAct2-Pretrain", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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- π Models: [Models](https://huggingface.co/collections/allenai/molmoact2-models), [Finetuned Models](https://huggingface.co/collections/allenai/molmoact2-finetuned-models)
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- π Datasets: [MolmoAct2-BimanualYAM Dataset](https://huggingface.co/collections/allenai/molmoact2-datasets), [MolmoAct2 Datasets](https://huggingface.co/collections/allenai/molmoact2-datasets), [Molmo2-ER Datasets](https://huggingface.co/collections/allenai/molmo2-er-datasets)
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- π Paper: https://arxiv.org/abs/2605.02881
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- π» Code: [allenai/molmoact2](https://github.com/allenai/molmoact2)
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- π₯ Blog Post: [MolmoAct2](https://allenai.org/blog/molmoact2)
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- π Models: [Models](https://huggingface.co/collections/allenai/molmoact2-models), [Finetuned Models](https://huggingface.co/collections/allenai/molmoact2-finetuned-models)
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- π Datasets: [MolmoAct2-BimanualYAM Dataset](https://huggingface.co/collections/allenai/molmoact2-datasets), [MolmoAct2 Datasets](https://huggingface.co/collections/allenai/molmoact2-datasets), [Molmo2-ER Datasets](https://huggingface.co/collections/allenai/molmo2-er-datasets)
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- π Paper: [arXiv:2605.02881](https://arxiv.org/abs/2605.02881)
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- π» Code: [allenai/molmoact2](https://github.com/allenai/molmoact2)
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- π₯ Blog Post: [MolmoAct2](https://allenai.org/blog/molmoact2)
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