Translation
Transformers
PyTorch
TensorFlow
JAX
Safetensors
t5
text2text-generation
summarization
text-generation-inference
Instructions to use google-t5/t5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-t5/t5-large 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-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google-t5/t5-large") model = AutoModelForSeq2SeqLM.from_pretrained("google-t5/t5-large") - Inference
- Notebooks
- Google Colab
- Kaggle
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README.md
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<summary> Click to expand </summary>
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```python
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from transformers import T5Tokenizer, T5Model
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tokenizer = T5Tokenizer.from_pretrained("t5-large")
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<summary> Click to expand </summary>
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```python
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!{sys.executable} -m pip install sentencepiece
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from transformers import T5Tokenizer, T5Model
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tokenizer = T5Tokenizer.from_pretrained("t5-large")
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