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:
- cf81f507e4f0e6cd73144db9cf52f1ee82e0e4615c3c8ecbab49de58438f19dc
- Size of remote file:
- 121 MB
- SHA256:
- 8b990798f9a1c16035dcc6bebe8c14e9afa8818b6b37aaf18a57aa454b5634c1
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