Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-el8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-el8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-el8") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-el8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0c87d2c7bb2e6def0a2c59c26a74f01b75572595e968ab946d6fa6005d23001
- Size of remote file:
- 267 MB
- SHA256:
- 0c7cd25fb90a6891fdde7736c1da997a873cd0feb743c3412e6130d23af52852
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