Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny-el6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny-el6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny-el6") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-tiny-el6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a1616263473acdaf953f1a87945c1715c5979cee1214a4f0cdf3958800b8fc0
- Size of remote file:
- 102 MB
- SHA256:
- 8c56f3a66976e0cb6a5afe488069d548e40fccf6a3d4e7374c70037dd28eddef
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