Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny-nl32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny-nl32 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny-nl32") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-tiny-nl32") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e55440de83d0af3db446f869b89841d841257fce87f41c24a2dff178d2210918
- Size of remote file:
- 268 MB
- SHA256:
- 3b75e16fdea706e83595cb53f97e0eb463b3f6e3112021f8bc8648191f6d35b6
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