Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-xxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-xxl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-xxl") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-xxl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d39300ea9137d098d828caa2033b0b5619d31a32d96b8107163507b0cb024d80
- Size of remote file:
- 45.2 GB
- SHA256:
- 9c73c9c86ebca2da0804d74c51c6281d0ffc763f2ad7d1997538eed1b285320b
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