Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-nl20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-nl20 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-nl20") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-nl20") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 896a1249140bbc5f86778b71a9606ae5511e143f6d316c23eb1680eb494f4645
- Size of remote file:
- 653 MB
- SHA256:
- 7ed1673c39933c4551df4ccf15554e151709d0980e4ac6238e9f414d1e080ee8
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