Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny-nl12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny-nl12 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny-nl12") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-tiny-nl12") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a020481121f893a5643e5ef2d51251b2cab60d096d50476bc2ee7b589ec8a51
- Size of remote file:
- 121 MB
- SHA256:
- b1b76a2f7ceb628e7f1e216cf4f20f5ad62ddc0d388e587911966498d2eed49e
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