Instructions to use halfrot/sft-mt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use halfrot/sft-mt5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("halfrot/sft-mt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("halfrot/sft-mt5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
license: apache-2.0
datasets:
- Helsinki-NLP/europarl
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.