Instructions to use JuliusFx/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JuliusFx/lora_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JuliusFx/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f72b7c9707384418868f1db71f878bf90c2cab9d50387615addee82e4d8e121
- Size of remote file:
- 168 MB
- SHA256:
- fd18d82358ce5e2e93661acee32f779c1611bbba1a156f934ca952c24171802f
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