Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-nl32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-nl32 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-nl32") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-nl32") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f934dfcbe041709d770387d7034f191cd603caf053165c5586a0b5515ccf6629
- Size of remote file:
- 1.01 GB
- SHA256:
- d97000e4f489315b3e178372291c9997113bd608963c8bd029e86b91930a8ded
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