Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-nl36 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-nl36 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-nl36") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-nl36") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3b1d9093732e9f6520bccbfba059fb4ba1916804fa94b6ae64a305ff5e56898
- Size of remote file:
- 1.12 GB
- SHA256:
- 54b7bd5b5672521873cc75e2883c34a2d8dcde1b522a365a248afa973dd377e0
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