Model Card for fr_en-t5-large
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This model has been optimized for French and English language processing while minimizing overall size. To achieve this, I only retained relevant parameters and tokens specific to these two languages, ensuring that performance remains as good as the original mt5.
Model Details
I used a method outlined in a blog post by David Dale to downsize the multilingual T5 model for French and English use cases specifically. By utilizing the giga_fren dataset, I was able to successfully reduce the total number of tokens and decrease both the model and tokenizer sizes by 38% and 80% respectively.
Model Description
- Developed by: Korventenn
- Model type: mt5
- Language(s) (NLP): French and English
- License: Apache 2.0
- Generated from model: mt5-large
Model Sources [optional]
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- Repository: https://colab.research.google.com/drive/1cDWtO5BqWMm_nxnM7lHmPEKMWMejHdBJ#scrollTo=s6ebzRxA1VGv
Uses
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How to Get Started with the Model
Use the code below to get started with the model.
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("Korventenn/fr_en-t5-large")
model = AutoModelForSeq2SeqLM.from_pretrained("Korventenn/fr_en-t5-large")
Training Data
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