Translation
Transformers
PyTorch
TensorFlow
JAX
Safetensors
t5
text2text-generation
summarization
text-generation-inference
Instructions to use google-t5/t5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-t5/t5-large 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-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google-t5/t5-large") model = AutoModelForSeq2SeqLM.from_pretrained("google-t5/t5-large") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
Update README.md 0c716e1
add flax ecee8a9
allow flax 16dbd4a
update languages to include fr/ro/de 1284e25
Migrate model card from transformers-repo e373802
For clarity, delete deprecated modelcard.json f3f29d5
Add tokenizer files 37886d8
Julien Chaumond commited on