Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny-nl16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny-nl16 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny-nl16") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-tiny-nl16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 221c64cc8ec681fe48dee4f3c1b0a02927c7612fe5930dd74b578f470adc9ae4
- Size of remote file:
- 150 MB
- SHA256:
- 7ddc72ccf9c60ed0b4289a11d4eda9ad79bb9b25a8b17a25264240059396400f
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