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:
- af3aed28d96e7ffbbfec422a53337130451c2844d2ddd064b78f448aee6ff19c
- Size of remote file:
- 267 MB
- SHA256:
- 5652b2d94cd0c0f07caa0a75437ed86b67c5cc535fcfe53574d5e31a71a2653d
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