Instructions to use AmirPiran/gemma-3-4b-4q-roman-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AmirPiran/gemma-3-4b-4q-roman-it with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AmirPiran/gemma-3-4b-4q-roman-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f565e8f7944f28bd85f2b5eb935e8fc8e2be3ac04bb92df0a7d671d1e06b978
- Size of remote file:
- 6.16 kB
- SHA256:
- c88868d7889df046a30964fea7e33f8e96c9f674445c8f5178d4e396853acdeb
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