Instructions to use daniel40/47f8eeca-3c8b-4585-bcf6-4fd378fb2001 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/47f8eeca-3c8b-4585-bcf6-4fd378fb2001 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2") model = PeftModel.from_pretrained(base_model, "daniel40/47f8eeca-3c8b-4585-bcf6-4fd378fb2001") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/adapter_model.safetensors from daniel40/47f8eeca-3c8b-4585-bcf6-4fd378fb2001: direct link, hf CLI and curl.
- Browser
- Download file 108 MB
-
https://huggingface.co/daniel40/47f8eeca-3c8b-4585-bcf6-4fd378fb2001/resolve/main/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://daniel40/47f8eeca-3c8b-4585-bcf6-4fd378fb2001/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/daniel40/47f8eeca-3c8b-4585-bcf6-4fd378fb2001/resolve/main/last-checkpoint/adapter_model.safetensors
108 MB
- Xet hash:
- 11f9980520f933a764a3d907a9e47b713781c0c86aa3bf3ab3867fd4b6945de8
- Size of remote file:
- 108 MB
- SHA256:
- 99d71ef153476d51237b1754a3c9cae9cad147e2cc269e5384d1522b85e68453
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.