Instructions to use google/long-t5-tglobal-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/long-t5-tglobal-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/long-t5-tglobal-base") model = AutoModelForSeq2SeqLM.from_pretrained("google/long-t5-tglobal-base") - Notebooks
- Google Colab
- Kaggle
Multilingual support
#2
by fastandthefinetuned - opened
As I understand it, this model only supports English. Is there a way to get multilingual support, e.g. using mt5 or flan-t5?
There's a mlong-T5 model available with a similar objective that is multilingual in nature and trained on mC4 corpus with the pre-training tasks taken from Flan-UL2.
https://huggingface.co/agemagician/mlong-t5-tglobal-base