Instructions to use eeeebbb2/ed54852c-5ead-4e2d-8aea-30994891c5ad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/ed54852c-5ead-4e2d-8aea-30994891c5ad with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-360M") model = PeftModel.from_pretrained(base_model, "eeeebbb2/ed54852c-5ead-4e2d-8aea-30994891c5ad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5cbde52e5cfc712023637009302d53a5063c055266b5c255a29d2b5de51928b2
- Size of remote file:
- 15 kB
- SHA256:
- 7d69cb66ebc260d8869efbb5ba5dbb658414a02614c53ac9ffabd1237f1298c4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.