Instructions to use asatwik218/gemma-split-extract-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asatwik218/gemma-split-extract-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("asatwik218/gemma-split-extract-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- d6990ce7f75130d74d394c6f428446b6f555482a33c9e5637027af47b98c46a8
- Size of remote file:
- 32.2 MB
- SHA256:
- b1d8bced9d66859cd2c3f4dcd8ab427197d4d46af3d9598b72af9fcf80b8392e
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