Instructions to use ar-mine/cosmos-robometer-private-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ar-mine/cosmos-robometer-private-code with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ar-mine/cosmos-robometer-private-code", device_map="auto") - PEFT
How to use ar-mine/cosmos-robometer-private-code with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
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Download offline_env/README.md from ar-mine/cosmos-robometer-private-code: direct link, hf CLI and curl.
- Browser
- Download file 476 Bytes
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https://huggingface.co/ar-mine/cosmos-robometer-private-code/resolve/main/offline_env/README.md
- Command line
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hf download hf://ar-mine/cosmos-robometer-private-code/offline_env/README.md
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curl -L -o README.md https://huggingface.co/ar-mine/cosmos-robometer-private-code/resolve/main/offline_env/README.md
476 Bytes
| # Offline uv environment artifact | |
| Download `phase21a-uv-linux-x86_64-cu128-20260828.tar.zst` on a connected | |
| machine, verify it with `SHA256SUMS`, then transfer it to the restricted training | |
| server. Full instructions and the external-artifact checklist are in | |
| [`../OFFLINE_UV_DEPLOYMENT.md`](../OFFLINE_UV_DEPLOYMENT.md). | |
| This archive is for Linux x86_64 only. It contains no credentials, model | |
| weights, Robometer trajectory archives, OOD data, checkpoints, or Conda files. | |