Instructions to use teawhite/ActionRoPE-internal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Wan2.2
How to use teawhite/ActionRoPE-internal 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
Download code/scripts/build_text_table.sh from teawhite/ActionRoPE-internal: direct link, hf CLI and curl.
- Browser
- Download file 234 Bytes
-
https://huggingface.co/teawhite/ActionRoPE-internal/resolve/main/code/scripts/build_text_table.sh
- Command line
-
hf download hf://teawhite/ActionRoPE-internal/code/scripts/build_text_table.sh
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curl -L -o build_text_table.sh https://huggingface.co/teawhite/ActionRoPE-internal/resolve/main/code/scripts/build_text_table.sh
234 Bytes
| # 重建 ActionRoPE 的 UMT5 文本表(动作从句已剥离)。 | |
| # 只加载 text_encoder,约 11 GB 显存、1 分钟。 | |
| set -euo pipefail | |
| cd "$(dirname "$0")/.." | |
| .venv/bin/python -m actionrope.build_text_table "$@" | |