Instructions to use lerobot/diffusion_pusht with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lerobot/diffusion_pusht with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lerobot/diffusion_pusht", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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remove_hydra (#2)
Verified signature- Upload folder using huggingface_hub (b06c88b1bf33993b7f25b2cd64dba79923eda85b) - Upload eval_info.json with huggingface_hub (ba8a9926fc085c3785f144e2b676bc35ca053a5c) - Delete config.yaml (81e6614b6692f4552ff46beea8dc97d1ba4e9314) - Update README (21573fe81522899ec7144da09e14c34034c13e6d) - Use 175k steps checkpoint (d3d143b0342488252497853815b27ce3c0384c6b) - Cleanup, update training curves (6d8bb7de11d55b2100c12ca4b73a6a72e2754369) - Update results (f322b4fdce74e7d3c4e0636fb1135814996eabf2)a25d928
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Upload folder using huggingface_hub
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