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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelWithLMHead tokenizer = AutoTokenizer.from_pretrained("google-t5/t5-11b") model = AutoModelWithLMHead.from_pretrained("google-t5/t5-11b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spiece.model from google-t5/t5-11b: direct link, hf CLI and curl.
- Browser
- Download file 792 kB
-
https://huggingface.co/google-t5/t5-11b/resolve/main/spiece.model
- Command line
-
hf download hf://google-t5/t5-11b/spiece.model
-
curl -L -o spiece.model https://huggingface.co/google-t5/t5-11b/resolve/main/spiece.model
792 kB
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