Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-tiny-el12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-tiny-el12 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-tiny-el12") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-tiny-el12") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a36ebc2ddb269e118fe5ac3448321114c3de0acfb1e077e3b45701efea7039d2
- Size of remote file:
- 122 MB
- SHA256:
- bcbcea6abb151b098eecd8f5cf8cce867af9ef7e9338a11acae46a45acd06baa
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