Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-el12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-el12 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-el12") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-el12") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed922efd016b46260482a60818ec7b056efb2ba6c6dd1d0903cf49cebac78810
- Size of remote file:
- 318 MB
- SHA256:
- f36a9aa19ccd7fcde8a7d859c4db667b02233a6273df12c56b96db36aa996a6e
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