Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny-nl2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny-nl2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny-nl2") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-tiny-nl2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd900b4509f61d226cf643d11b2435fa1175f6ed349c99d001cab8410215f715
- Size of remote file:
- 47.6 MB
- SHA256:
- 0613e16072afb5065132e79e5a2d0dcfb3883ae30e554f91628a366e3a9f6676
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