Instructions to use allout2726/model_harmful_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allout2726/model_harmful_lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("allout2726/model_harmful_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- feb1e8c3401ea2c50af125960c883050239c35ec68aec64f8a6a01721de9cc65
- Size of remote file:
- 148 MB
- SHA256:
- 4c74761ff52245707267461adf54a69f1d5729f6d961c54c03c04f896997fcf3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.