Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-nl2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-nl2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-nl2") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-nl2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07ce38e7e62aa56e22e079bbd396d3d7950c5ee057b31104bc26a8ea5257f23b
- Size of remote file:
- 125 MB
- SHA256:
- 6d86d6e09d373e0ee92667151b7d5cb2f99e7b4687bb247ce9c4cfa613a43f90
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