Instructions to use rovdetection/code-1b-aligned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rovdetection/code-1b-aligned with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rovdetection/code-1b-aligned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from rovdetection/code-1b-aligned: direct link, hf CLI and curl.
- Browser
- Download file 5.52 kB
-
https://huggingface.co/rovdetection/code-1b-aligned/resolve/main/training_args.bin
- Command line
-
hf download hf://rovdetection/code-1b-aligned/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rovdetection/code-1b-aligned/resolve/main/training_args.bin
5.52 kB
- Xet hash:
- 0e02f759da3e3ea5ce123fae51d0269fe3aab3376782926e3c2c3e5587b89283
- Size of remote file:
- 5.52 kB
- SHA256:
- 54efb2864949d275b143e3bc13e9d21c600c8a3309a7f6da6e99d0be9aa7dd0f
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