Instructions to use shorecode/gemma-3-svg-generator-lora-xla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shorecode/gemma-3-svg-generator-lora-xla with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shorecode/gemma-3-svg-generator-lora-xla", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- bestpoint-1500
- checkpoint-1000
- checkpoint-1500
- checkpoint-2000
- checkpoint-2500
- checkpoint-3000
- checkpoint-3254
- checkpoint-500
- checkpoint-dec-5-3254
- old-cp-1300
- old-cp-3254
- unchecked-3254
- 4.6 kB
- 1.58 kB
- 1.09 kB
- 2.48 GB xet
- 1.53 kB
- 1.56 kB
- 210 Bytes
- 4 GB xet
- 1.21 GB xet
- 28.6 kB
- 730 Bytes
- 33.4 MB xet
- 4.69 MB xet
- 1.16 MB