Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-nl16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-nl16 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-nl16") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-nl16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96849a056a984d08d340732f24ce923f9edeaedc15afb9ed80e1c4116dd8524d
- Size of remote file:
- 536 MB
- SHA256:
- 28295445dd3acb62b173a3973104d103362f7892e407a974162591af451a6fa2
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