Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-dl4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-dl4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-dl4") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-dl4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 215301d98a888d61d26e094f5db465c99fcd5a4b926c59bd0f4ee64193d53603
- Size of remote file:
- 209 MB
- SHA256:
- 5e35015f106298191f8554e9edbc57523f9e74e394b9ebc4012b2304918ec941
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