Transformers
PyTorch
English
t5
text2text-generation
human feedback
rlhf
preferences
reddit
preference model
RL
NLG
evaluation
text-generation-inference
Instructions to use stanfordnlp/SteamSHP-flan-t5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stanfordnlp/SteamSHP-flan-t5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("stanfordnlp/SteamSHP-flan-t5-large") model = AutoModelForSeq2SeqLM.from_pretrained("stanfordnlp/SteamSHP-flan-t5-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04f258b7ef50b7842120a7d074481a21b5a493a0bbc1b570deb8d245bce8b48a
- Size of remote file:
- 3.13 GB
- SHA256:
- 642b1a94109c44d927cbbfaa7214e85212af559f6b3e24af08e3b60c17815432
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