Instructions to use Sibgat-Ul/open_coder_TS_best with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sibgat-Ul/open_coder_TS_best with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sibgat-Ul/open_coder_TS_best", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ccfcfdfa14df8baba9039a5e901953b0e9f6c2fdf8ed354cdbaf7ba3667e0e48
- Size of remote file:
- 1.54 MB
- SHA256:
- 76d43d618fc0c5a7c79dc4e72579f9f29bb803b36e4a4d709d1233626fd8fe2a
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