Add project page and link to paper
Browse filesThis PR adds the project page and links the model to [From Intention to Execution: Probing the Generalization Boundaries of Vision-Language-Action Models](https://huggingface.co/papers/2506.09930).
README.md
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license: mit
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pipeline_tag: robotics
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# Octo Base
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See https://github.com/octo-models/octo for instructions for using this model.
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Octo Base is trained with a window size of 2, predicting 7-dimensional actions 4 steps into the future using a diffusion policy. The model is a Transformer with 93M parameters (equivalent to a ViT-B). Images are tokenized by preprocessing with a lightweight convolutional encoder, then grouped into 16x16 patches. Language is tokenized by applying the T5 tokenizer, and then applying the T5-Base language encoder.
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license: mit
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pipeline_tag: robotics
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---
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# Octo Base
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This model is described in [From Intention to Execution: Probing the Generalization Boundaries of Vision-Language-Action Models](https://huggingface.co/papers/2506.09930).
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Project Page: https://ai4ce.github.io/INT-ACT/
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See https://github.com/octo-models/octo for instructions for using this model.
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Octo Base is trained with a window size of 2, predicting 7-dimensional actions 4 steps into the future using a diffusion policy. The model is a Transformer with 93M parameters (equivalent to a ViT-B). Images are tokenized by preprocessing with a lightweight convolutional encoder, then grouped into 16x16 patches. Language is tokenized by applying the T5 tokenizer, and then applying the T5-Base language encoder.
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