Instructions to use sosuke/preference_tuning_results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sosuke/preference_tuning_results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("llm-book/Swallow-7b-hf-oasst1-21k-ja") model = PeftModel.from_pretrained(base_model, "sosuke/preference_tuning_results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea5a6f92fb5d0b65739efe06d28d7b3c2b5da64865920aa726a003c20246f569
- Size of remote file:
- 5.75 kB
- SHA256:
- 6f5188022b4947d7154a7a82dc35181d581ffa2a4caa5f7082e0d73d9539a0ea
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