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 adapter_model.bin 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/adapter_model.bin
- Command line
-
hf download hf://daniel40/47f8eeca-3c8b-4585-bcf6-4fd378fb2001/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/daniel40/47f8eeca-3c8b-4585-bcf6-4fd378fb2001/resolve/main/adapter_model.bin
108 MB
- Xet hash:
- 7e11c1ad52966491067112390ba45becbe792de9f286a2356b20a676680e02da
- Size of remote file:
- 108 MB
- SHA256:
- bd9316de2f81fb17adf35a0fe424ad04b194d8115b5f9f7645217bc1c1d67270
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