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:
- 328196d4143bb2c1fc5f4cda19ba28f1bfefeacdc6d2e94b64ae308b49ababf9
- Size of remote file:
- 914 kB
- SHA256:
- c877c5ca885bad5c19d1b1706a2703f8b30de90f03c1f834f8bdb9faf79821e8
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