Instructions to use aleegis10/328c7fca-9a6b-4269-9dfe-e170212caa1c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis10/328c7fca-9a6b-4269-9dfe-e170212caa1c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "aleegis10/328c7fca-9a6b-4269-9dfe-e170212caa1c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27e683b0ba0444e5dac52dd1570395894065351d69418bbd0b046e62b9fa759e
- Size of remote file:
- 1.06 kB
- SHA256:
- ae143a1b3a6f3911d7de6f885a33334066ae6c29ef03002bdce21e41331f97e8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.