Instructions to use ujjwal5454/lora3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ujjwal5454/lora3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ujjwal5454/lora3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 871f74358afa0fba3c960ebe023ab7a216ee85b5195f6f0a237246b64cf0d10e
- Size of remote file:
- 5.65 kB
- SHA256:
- 5287f633d11af68248fe6b8348666a47c753960ab8b659463dd3065272356c4b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.