Translation
Transformers
PyTorch
TensorFlow
JAX
Rust
ONNX
Safetensors
t5
text2text-generation
summarization
text-generation-inference
Instructions to use google-t5/t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-t5/t5-small 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-small")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google-t5/t5-small") model = AutoModelForSeq2SeqLM.from_pretrained("google-t5/t5-small") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
remove wrongly exported onnx modle 4ef1586
Felix Marty commited on
Adding `safetensors` variant of this model (#11) 5bf53e1
Adding generation config file(s) 3479082
Add "multilingual" to the language tag (#9) 9507060
fix format (#8) 02bc355
Fix architecutre (#7) c2bea44
Update README.md d769bba
upload flax model a3f81e0
allow flax 0523ed3
allow flax 9f1b74c
allow flax e150426
update languages to include fr/ro/de 255e6b7
Migrate model card from transformers-repo 91d7529
For clarity, delete deprecated modelcard.json bbf66eb
addition of Rust model 4c22576
Add tokenizer files fddaf69
Julien Chaumond commited on