Instructions to use daniel40/9d3e34c6-ad39-4dc4-8b65-e4083b0fd0bf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/9d3e34c6-ad39-4dc4-8b65-e4083b0fd0bf 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, "daniel40/9d3e34c6-ad39-4dc4-8b65-e4083b0fd0bf") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10d3b5d3cee63be308e63b0f394ec5f91502072034eaef0ada7fa80378b3cf8d
- Size of remote file:
- 6.78 kB
- SHA256:
- 61688557ea75dfb93d8989710258d5f0a2a2e60399de64b59e09aacbd36c7198
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