Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny-dl8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny-dl8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny-dl8") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-tiny-dl8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13059a0eb72db1d6bf3fcf7e376d10e5c37fb1512d269c12c905a51748633220
- Size of remote file:
- 104 MB
- SHA256:
- bbfc4bb9ab8501b5f7d93f808c2042e83fe98105cd7a2f0c0559f2f0c412779f
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