Instructions to use robiulawaldev/d3ea19ec-6449-4dae-9466-a093f3244993 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use robiulawaldev/d3ea19ec-6449-4dae-9466-a093f3244993 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, "robiulawaldev/d3ea19ec-6449-4dae-9466-a093f3244993") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from robiulawaldev/d3ea19ec-6449-4dae-9466-a093f3244993: direct link, hf CLI and curl.
- Browser
- Download file 432 MB
-
https://huggingface.co/robiulawaldev/d3ea19ec-6449-4dae-9466-a093f3244993/resolve/main/adapter_model.bin
- Command line
-
hf download hf://robiulawaldev/d3ea19ec-6449-4dae-9466-a093f3244993/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/robiulawaldev/d3ea19ec-6449-4dae-9466-a093f3244993/resolve/main/adapter_model.bin
432 MB
- Xet hash:
- 43221e1cce3a855d3f6f6f31c4a167c17ae51f52481ecd77b732743c7eaa7ea7
- Size of remote file:
- 432 MB
- SHA256:
- 866ed178b50491a98237f705cc820f7df7ed105dfa653bb74096321906cfacaa
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