Robotics
PyTorch
world-action-model
libero
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Show the LIBERO videos in the model card gallery.

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  1. ASSET_SHA256SUMS +1 -1
  2. README.md +15 -18
ASSET_SHA256SUMS CHANGED
@@ -6,7 +6,7 @@ b2cd77e9402b7897ba0d680eb45e4a38fb752e89641e3a9487a7cd4e947dad6c policy.pt
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  a648e545ad63d0d398ebf5735aa0e7426efdaf3fa55907c5ec50b72df6e273df stats/libero_goal.json
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  4eed60c361514c0f95f4ad24ec271972197e30463be07d82ec6c764cba3f6f83 stats/libero_object.json
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  d2023cc6a5a33abd405c3a9f63b7fabc84df6c917798bd7080114bcbe9294d89 stats/libero_spatial.json
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- 698c8f3409980cdfeded3d153944ebfb3ab2ba70896c8a36289f14bb62d5553f README.md
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  49a50f0bf4470ede9f9127a4ad73455ddce369705c59b9b1ead545cca0f454e6 videos/libero-spatial.mp4
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  905ccc23cf99504e6f17f9fac2b5115896304be2d2dc0a9522f8886095c0548c videos/libero-object.mp4
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  b5393c1ae185b1d05ad79edde9b5dc7b10543694b5c6be0d44084362e962e51d videos/libero-goal.mp4
 
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  a648e545ad63d0d398ebf5735aa0e7426efdaf3fa55907c5ec50b72df6e273df stats/libero_goal.json
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  4eed60c361514c0f95f4ad24ec271972197e30463be07d82ec6c764cba3f6f83 stats/libero_object.json
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  d2023cc6a5a33abd405c3a9f63b7fabc84df6c917798bd7080114bcbe9294d89 stats/libero_spatial.json
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+ ee1def4bcae6edf5bd09d155632ca7ddc9f9b20c7e8c7dfc17a1f916bd39bd14 README.md
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  49a50f0bf4470ede9f9127a4ad73455ddce369705c59b9b1ead545cca0f454e6 videos/libero-spatial.mp4
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  905ccc23cf99504e6f17f9fac2b5115896304be2d2dc0a9522f8886095c0548c videos/libero-object.mp4
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  b5393c1ae185b1d05ad79edde9b5dc7b10543694b5c6be0d44084362e962e51d videos/libero-goal.mp4
README.md CHANGED
@@ -8,34 +8,31 @@ tags:
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  - robotics
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  - world-action-model
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  - libero
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # CAE-FastWAM
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  A latent world-action policy for the [LIBERO](https://github.com/Lifelong-Robot-Learning/LIBERO) benchmark, fine-tuned by Advanced Micro Devices, Inc. from [Wan2.2-TI2V-5B](https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B).
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  Code: [AMD-AGI/faster-action-models](https://github.com/AMD-AGI/faster-action-models).
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  Each 32-step action chunk is encoded as 8 latent tokens of width 16.
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- ## Examples
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-
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- LIBERO-Spatial
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-
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- <video controls src="https://huggingface.co/amd/CAE-FastWAM/resolve/main/videos/libero-spatial.mp4"></video>
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-
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- LIBERO-Object
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-
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- <video controls src="https://huggingface.co/amd/CAE-FastWAM/resolve/main/videos/libero-object.mp4"></video>
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-
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- LIBERO-Goal
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-
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- <video controls src="https://huggingface.co/amd/CAE-FastWAM/resolve/main/videos/libero-goal.mp4"></video>
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-
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- LIBERO-Long
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-
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- <video controls src="https://huggingface.co/amd/CAE-FastWAM/resolve/main/videos/libero-long.mp4"></video>
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-
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  ## Files
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  | File | Description |
 
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  - robotics
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  - world-action-model
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  - libero
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+ widget:
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+ - text: LIBERO-Spatial
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+ output:
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+ url: videos/libero-spatial.mp4
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+ - text: LIBERO-Object
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+ output:
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+ url: videos/libero-object.mp4
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+ - text: LIBERO-Goal
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+ output:
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+ url: videos/libero-goal.mp4
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+ - text: LIBERO-Long
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+ output:
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+ url: videos/libero-long.mp4
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  ---
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  # CAE-FastWAM
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+ <Gallery />
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+
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  A latent world-action policy for the [LIBERO](https://github.com/Lifelong-Robot-Learning/LIBERO) benchmark, fine-tuned by Advanced Micro Devices, Inc. from [Wan2.2-TI2V-5B](https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B).
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  Code: [AMD-AGI/faster-action-models](https://github.com/AMD-AGI/faster-action-models).
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  Each 32-step action chunk is encoded as 8 latent tokens of width 16.
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  ## Files
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  | File | Description |