Instructions to use IB13/t5_ppo_model_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use IB13/t5_ppo_model_3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("IB13/sft_t5_base_processed_model") model = PeftModel.from_pretrained(base_model, "IB13/t5_ppo_model_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 878bce2293305133c0934d3811b44787bfb9a259e6cf76d3dc81992295edd2c9
- Size of remote file:
- 7.1 MB
- SHA256:
- 8bc4650433964d457274798b0ed66f197cac4b83a3240801df9d31827f501c8d
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