
🤗 Language model initialized from mT5 and trained for an additional 100K steps on the Prefix LM objective using mC4 data.

Paper: [Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation](https://arxiv.org/abs/2205.12647)

Authors: Tu Vu, Aditya Barua, Brian Lester, Daniel Cer, Mohit Iyyer, Noah Constant

PyTorch port of the original Flax checkpoint at [Google/T5X repository](https://github.com/google-research/t5x).
{"license": "apache-2.0"}
transformers pytorch mt5 text2text-generation arxiv:2205.12647 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #mt5 #text2text-generation #arxiv-2205.12647 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


 Language model initialized from mT5 and trained for an additional 100K steps on the Prefix LM objective using mC4 data.

Paper: Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation

Authors: Tu Vu, Aditya Barua, Brian Lester, Daniel Cer, Mohit Iyyer, Noah Constant

PyTorch port of the original Flax checkpoint at Google/T5X repository.
TAGS
#transformers #pytorch #mt5 #text2text-generation #arxiv-2205.12647 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

TAGS
#transformers #pytorch #mt5 #text2text-generation #arxiv-2205.12647 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
