Download envs/rdlm.yml from jyliuAI/diffusion_baseline: direct link, hf CLI and curl.
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https://huggingface.co/jyliuAI/diffusion_baseline/resolve/main/envs/rdlm.yml
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hf download hf://jyliuAI/diffusion_baseline/envs/rdlm.yml
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curl -L -o rdlm.yml https://huggingface.co/jyliuAI/diffusion_baseline/resolve/main/envs/rdlm.yml
721 Bytes
| # RDLM requires Python 3.9 and PyTorch 2.3.1. That PyTorch release ships the | |
| # CUDA 12.1 runtime; an NVIDIA 12.4 driver remains backward compatible. | |
| name: dlb-rdlm | |
| channels: [pytorch, nvidia, conda-forge] | |
| dependencies: | |
| - python=3.9 | |
| - pip=24.2 | |
| - pytorch=2.3.1 | |
| - mkl<2024.1 | |
| - pytorch-cuda=12.1 | |
| - pip: | |
| - accelerate==1.2.1 | |
| - datasets==3.2.0 | |
| - einops==0.8.0 | |
| - eval-type-backport==0.2.2 | |
| - fsspec==2024.9.0 | |
| - hydra-core==1.3.2 | |
| - hydra-joblib-launcher==1.2.0 | |
| - numpy==1.26.4 | |
| - omegaconf==2.3.0 | |
| - pydantic==2.12.4 | |
| - pyyaml==6.0.2 | |
| - scipy==1.13.1 | |
| - tokenizers==0.21.0 | |
| - tqdm==4.67.1 | |
| - transformers==4.47.1 | |
| - wandb==0.19.1 | |