Instructions to use DKYoon/mt5-base-lm-adapt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DKYoon/mt5-base-lm-adapt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DKYoon/mt5-base-lm-adapt") model = AutoModelForSeq2SeqLM.from_pretrained("DKYoon/mt5-base-lm-adapt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 468 Bytes
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license: apache-2.0
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🤗 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). |