Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24074ae7daa4318301a6d16f602158a6deb45db957e24dc1a63f79a10740819b
- Size of remote file:
- 242 MB
- SHA256:
- 03d784cece7831b7b91d2fd592f8dd2afb8c3effd3397133ea898c9f77ccced9
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