Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-el16-dl8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-el16-dl8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-el16-dl8") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-el16-dl8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2ff932bfe76588b887137767f9c79312bc3c8d11b86172d8301dbf9d6ca9dc7
- Size of remote file:
- 401 MB
- SHA256:
- 259601fa06807a5aaab76e84cfdb26906adbed98e5ef7b72916546e305391dfe
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