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
- Xet hash:
- e83e9099d83d06394f9a2672b9310740d63f63a34a2a0804bd49657d1519ee5f
- Size of remote file:
- 45.2 GB
- SHA256:
- 5fdc64177b14b0f72437fea171a752c626733f67755842528c75b90cacd1c807
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