Instructions to use imranulhaquenoor/gemma3-1b-urdu-tutor-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imranulhaquenoor/gemma3-1b-urdu-tutor-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("imranulhaquenoor/gemma3-1b-urdu-tutor-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- b9439e3c82a49e13bb205b63b6a5c0f0f7ccffab4effe8936f7a8f5aca00233d
- Size of remote file:
- 52.2 MB
- SHA256:
- 789f02f2f39d53895a7928e8717cd46f41c8f4ba5a50afe911edf19aa95d34f1
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