Instructions to use Milind1982/finetuned-gemma-2b-code-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Milind1982/finetuned-gemma-2b-code-instruct with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Milind1982/finetuned-gemma-2b-code-instruct", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fdc21e8b4aef36e84aab13ecc1a5bd2f8da7b0dec30838631e5fe0db7ab413b
- Size of remote file:
- 34.3 MB
- SHA256:
- 4832e34e7e1052da4b782123fa6223271a4cfc5a60ea83764de1cd23eacca701
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