Instructions to use rovdetection/code-1b-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rovdetection/code-1b-instruct with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rovdetection/code-1b-instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from rovdetection/code-1b-instruct: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/rovdetection/code-1b-instruct/resolve/main/training_args.bin
- Command line
-
hf download hf://rovdetection/code-1b-instruct/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rovdetection/code-1b-instruct/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- e48e2f9baf3cd859661025fcd24044d123a367d3a0f403650b3b903a1f0a9545
- Size of remote file:
- 5.78 kB
- SHA256:
- db0a62792e6a92c9c94641833ccdb8713427853bbc327f08f37bdc954c14d801
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