Translation
Transformers
PyTorch
TensorFlow
t5
text-generation
summarization
text-generation-inference
Instructions to use google-t5/t5-11b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-t5/t5-11b with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="google-t5/t5-11b")# Load model directly from transformers import AutoTokenizer, AutoModelWithLMHead tokenizer = AutoTokenizer.from_pretrained("google-t5/t5-11b") model = AutoModelWithLMHead.from_pretrained("google-t5/t5-11b") - Notebooks
- Google Colab
- Kaggle
Commit History
Update README.md 952e4a1
Update README.md a1ea5cf
update languages to include fr/ro/de b8fabb3
add DeepSpeed as another solution for ths huge model. fa3444f
Migrate model card from transformers-repo 424857d
For clarity, delete deprecated modelcard.json 8b62c79
Add tokenizer files 36ce142
Julien Chaumond commited on