Instructions to use huiang/reward-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use huiang/reward-imdb with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("distilbert-base-uncased") model = PeftModel.from_pretrained(base_model, "huiang/reward-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06668ffcab6a995c83e1a244165ca59e931517e907a610a57a5d63fc7e5b6411
- Size of remote file:
- 4.98 kB
- SHA256:
- 384f2a8c53a7abcb9eeb80d9a66fa38dafc4aa622f3f543ee9106f4dcb0713e7
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