Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-el16-dl1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-el16-dl1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-el16-dl1") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-el16-dl1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3435c73bb00aca4c116fa9852b740946154880201f2a39e6821f4a15c333b7e6
- Size of remote file:
- 284 MB
- SHA256:
- dd05ac4449aebe2121c9a5b916bc79b7a797a6bfb32f825516a54411b462716a
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