Instructions to use dayvidwang/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dayvidwang/lora_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dayvidwang/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 08b15328360f9fc5acc566f73426f9c3bf72cc6c491d3c6d71ff4e2f903b6ffd
- Size of remote file:
- 17.5 MB
- SHA256:
- cf26ff901e30c5f38af16c3a8aa9fe72a15c54351c101dae5514203938a74498
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