Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-dl12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-dl12 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-dl12") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-dl12") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 559f64efcbc3dbba7fde64642a011a7622388b3dc7fd3d67815b8f63268100ad
- Size of remote file:
- 343 MB
- SHA256:
- fbc44e871e2cfc98848fc9df4f4b4955427a2655fe1638a9a5c22c1db77ee3eb
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