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:
- 140d0614fbee92c126dd6ec2a89dba1da89538697bf79b09dfd0d123ce236ad9
- Size of remote file:
- 131 MB
- SHA256:
- 78edd62ac14f167fc94c8ec2a5753073e93a392cf3e905ad721175dbc9ccfb89
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