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
Update modelcard.json
Browse files- modelcard.json +11 -0
modelcard.json
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{
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"caveats_and_recommendations": {},
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"ethical_considerations": {},
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"evaluation_data": {},
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"factors": {},
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"intended_use": {},
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"metrics": {},
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"model_details": {},
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"quantitative_analyses": {},
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"training_data": {}
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}
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