Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-el4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-el4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-el4") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-el4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ca4d0b3b902476235d2bb771d38a1347782a0507c411aa54cc35894f2c3004f
- Size of remote file:
- 217 MB
- SHA256:
- 26db052645a8bea184858dfc92f8d39584b3826e2827b353774dcab78ab1c552
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