Instructions to use thaffggg/a16e5043-b07f-43ca-952a-6327592f373b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thaffggg/a16e5043-b07f-43ca-952a-6327592f373b 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, "thaffggg/a16e5043-b07f-43ca-952a-6327592f373b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12b02f6ef02697e59da41549af6e0aaba42c877d84af8a59ce8c72f3084a4ef8
- Size of remote file:
- 216 MB
- SHA256:
- 92ea8c7b702cb368bb2994f5bd9fd48697291a88e42a2510253d4b4ca895d282
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