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halfrot
/
sft-mt5-base

Transformers
Safetensors
mt5
text2text-generation
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xet
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How to use from the
Use from the
Transformers library
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("halfrot/sft-mt5-base")
model = AutoModelForSeq2SeqLM.from_pretrained("halfrot/sft-mt5-base")
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Trained SFT policy for MT task in the paper "ALaRM: Align Language Models via Hierarchical Rewards Modeling".

Check out our project page for more information.

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Model size
0.6B params
Tensor type
F32
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Dataset used to train halfrot/sft-mt5-base

Paper for halfrot/sft-mt5-base