Instructions to use dzanbek/30194f77-46c4-4597-9898-36b602b79f89 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dzanbek/30194f77-46c4-4597-9898-36b602b79f89 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "dzanbek/30194f77-46c4-4597-9898-36b602b79f89") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3cb03fa35baef1ad7b7f82f1e168f2cc8c491d50f8ffc19291f473e76159c42d
- Size of remote file:
- 39.2 MB
- SHA256:
- f89de3eff914dc870d64cfddb65bc128d251d7a5a9bad5f8c7083f3d3ee53180
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.