Translation
Transformers
PyTorch
TensorFlow
Safetensors
t5
text-generation
summarization
text-generation-inference
Instructions to use google-t5/t5-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-t5/t5-3b 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/t5-3b")# Load model directly from transformers import AutoTokenizer, AutoModelWithLMHead tokenizer = AutoTokenizer.from_pretrained("google-t5/t5-3b") model = AutoModelWithLMHead.from_pretrained("google-t5/t5-3b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06868b892646c4c65f4e18b94c78019a25d857e4d245a712d6a309d98695a5dc
- Size of remote file:
- 11.4 GB
- SHA256:
- da4034ddd253f3d4d588e70488ccebab87e38461e65762578815e5bb7ac3bf9d
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