Instructions to use ayushadarsh7/gemma3_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayushadarsh7/gemma3_lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ayushadarsh7/gemma3_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 618605033b4c3ae35023e97f4b6a1c0acf03921fff5daf110336d9951b7da92e
- Size of remote file:
- 6.35 kB
- SHA256:
- 74101dff9eb622a8d82944cdf4d808652f0e275e6f28e03d70a7fc39bda4e742
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