Reinforcement Learning
Transformers
PyTorch
Safetensors
t5
text2text-generation
trl
text-generation-inference
Instructions to use SummerSigh/T5-Base-EvilPrompterRM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SummerSigh/T5-Base-EvilPrompterRM with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SummerSigh/T5-Base-EvilPrompterRM") model = AutoModelForSeq2SeqLM.from_pretrained("SummerSigh/T5-Base-EvilPrompterRM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c393d37cc1ae90d1ed2b11a68b0455644c0293ffad5b176f20dd75e11adedc1
- Size of remote file:
- 990 MB
- SHA256:
- 29334ac025438de4e674f37a2e4a6e30e242ad44786c43e6f54fc51a20c29250
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