Instructions to use sohambose98/sre-sft-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sohambose98/sre-sft-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sohambose98/sre-sft-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 881d52fa9c7bd55e04af873d1d02efd5335067deeeebf3fd5c74ab4b2e9c0920
- Size of remote file:
- 6.29 kB
- SHA256:
- 8b17bf867df2284fbb0ab14463ae51b0f23788ba248ac122ec8c514168ff7df3
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