Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-nl4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-nl4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-nl4") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-nl4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94595c3f84246c17152776b9d4f9321081306911dfb15dff52892772db3b991c
- Size of remote file:
- 183 MB
- SHA256:
- 434be48652a745ef683fcc27321fa55cb01700026624049b40bb4d32c325dfea
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