Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny") model = AutoModelForMultimodalLM.from_pretrained("google/t5-efficient-tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a70c6c9aba1c142c1d4b74e0f04d1ed1e6cca86596defd4eb8a316519262a61
- Size of remote file:
- 62.3 MB
- SHA256:
- 590e44a6c725c620bad33705f8efecaaec44014347ecea7287fc712a72797875
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