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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fe02e005053ac39677652b7e8db422cfdb6fd59c1836728502a444456b6e5c5
- Size of remote file:
- 122 MB
- SHA256:
- a17933a69fe3bb83b6d9572de682d98cd7d25dadaf91ba06da94db6044afb1b4
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