Instructions to use anushamadan02/results-starcoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anushamadan02/results-starcoder with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anushamadan02/results-starcoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from anushamadan02/results-starcoder: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/anushamadan02/results-starcoder/resolve/main/training_args.bin
- Command line
-
hf download hf://anushamadan02/results-starcoder/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/anushamadan02/results-starcoder/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- 42bb5c3e1d4baa697ed5a5c4038ad0638ed1939f2270dea4d6fd3249517f0138
- Size of remote file:
- 5.56 kB
- SHA256:
- c0d6db854e7bc6e454817b2e40dad0b018dd9fe4f93bd160e05aa78b6aea7032
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