Instructions to use cilooor/1c889fdf-2371-4402-86dc-73619ad226c6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cilooor/1c889fdf-2371-4402-86dc-73619ad226c6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "cilooor/1c889fdf-2371-4402-86dc-73619ad226c6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 150f5aa7ef655e69abed8efad6e97f597f8be6aa590e71a190a7aaff1e871290
- Size of remote file:
- 1.06 kB
- SHA256:
- c09a3e270daa077e38bac4ad605b0e6c9b43938bcf49dc3d62c3671f11248c14
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.