Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-dl16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-dl16 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-dl16") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-dl16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f07246875b934289de3829d61c0812124ccad31afc1ded628558cccbf830b6bd
- Size of remote file:
- 410 MB
- SHA256:
- 847a319f1872c1029d341d55653c928a02118bb521bc5239ed0093e46c95db0e
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