Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-dl8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-dl8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-dl8") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-dl8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa13f9bcd09a6769c20e2b468592de03df8f45846448c957204fab32d171fa95
- Size of remote file:
- 276 MB
- SHA256:
- 3e9c23996ce3f4186c4cffa6710e06ca19a7d871f690a7061e1dabb42f17cb36
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