Instructions to use leaf0788/structeval-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leaf0788/structeval-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("leaf0788/structeval-lora", device_map="auto") - PEFT
How to use leaf0788/structeval-lora with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89987d2c3ffb56d4c82128f80744f1e7909e82e31138add4c58e889a97f81876
- Size of remote file:
- 529 MB
- SHA256:
- 9475ae1f204dd39e8712d1e28ca815201f281c60762384d523dad1067e7ec383
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