Instructions to use lakshegde/finetuned-gemma-2-2b-code-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lakshegde/finetuned-gemma-2-2b-code-instruct with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lakshegde/finetuned-gemma-2-2b-code-instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1edbc3b2a624e67dc1151f605bc379934c7f372c1a62ff6a0353eb5bc5899b20
- Size of remote file:
- 34.4 MB
- SHA256:
- 43281f7b01328b859788ab5ca8acf1c2c8fed3284f127efdcc2a12bbceceb843
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