Translation
Transformers
PyTorch
TensorFlow
JAX
Rust
Safetensors
t5
text2text-generation
summarization
text-generation-inference
Instructions to use google-t5/t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-t5/t5-base 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-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google-t5/t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("google-t5/t5-base") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
Adding generation config file(s) 0db7e62
Update README.md 686f1db
Update README.md 086bcba
upload flax model 7590d91
allow flax 8bc4e15
allow flax 42c3477
allow flax d2707ad
update languages to include fr/ro/de 5a7ff2d
Migrate model card from transformers-repo 5886394
For clarity, delete deprecated modelcard.json 3422843
addition of Rust model c233b9a
Add tokenizer files 0610b4d
Julien Chaumond commited on