Instructions to use hmkang/wam_ctxpool_bmethod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Wan2.2
How to use hmkang/wam_ctxpool_bmethod with Wan2.2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Commit History
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metrics: RoboCasa Kitchen SR, arms ['avg_L3', 'xattn_L3', 'xattn_ffn_L3']
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metrics: RoboCasa Kitchen SR, arms ['avg_L3', 'xattn_L3', 'xattn_ffn_L3']
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metrics: RoboCasa Kitchen SR, arms ['xattn_ffn_L3']
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metrics: add ckpt-100000 RoboCasa Kitchen SR (24/24, EMA, seed42av, N_ENVS=1)
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metrics: RoboCasa Kitchen 24-task success rate, ckpt 60k + 80k (EMA, seed42av, N_ENVS=1)
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