Instructions to use daniel40/33d12fba-7a45-4140-9a5f-c8d2ce7a8ff4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/33d12fba-7a45-4140-9a5f-c8d2ce7a8ff4 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, "daniel40/33d12fba-7a45-4140-9a5f-c8d2ce7a8ff4") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from daniel40/33d12fba-7a45-4140-9a5f-c8d2ce7a8ff4: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/daniel40/33d12fba-7a45-4140-9a5f-c8d2ce7a8ff4/resolve/ef3cd50657f8efbbe186bf2f40294bd39987c322/training_args.bin
- Command line
-
hf download hf://daniel40/33d12fba-7a45-4140-9a5f-c8d2ce7a8ff4@ef3cd50657f8efbbe186bf2f40294bd39987c322/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/daniel40/33d12fba-7a45-4140-9a5f-c8d2ce7a8ff4/resolve/ef3cd50657f8efbbe186bf2f40294bd39987c322/training_args.bin
6.78 kB
- Xet hash:
- 1b187de4f021268bbbc772232f800d265c25220fea3cf572b9ed8ba9e24c972d
- Size of remote file:
- 6.78 kB
- SHA256:
- 213d86b096cfacd87d40e114eedcdfb6742c073cf5f7e874eb604bb7e957d375
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