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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelWithLMHead tokenizer = AutoTokenizer.from_pretrained("google-t5/t5-3b") model = AutoModelWithLMHead.from_pretrained("google-t5/t5-3b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from google-t5/t5-3b: direct link, hf CLI and curl.
- Browser
- Download file 399 Bytes
-
https://huggingface.co/google-t5/t5-3b/resolve/main/.gitattributes
- Command line
-
hf download hf://google-t5/t5-3b/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/google-t5/t5-3b/resolve/main/.gitattributes
399 Bytes
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