Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-mini with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-mini") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-mini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7549899ddacfcbd870522ce1298a1b2f9378e8c380ea29fc1596f5ed6e008b0e
- Size of remote file:
- 125 MB
- SHA256:
- df869eb13091a127ae9d9a9198ba17cd3a5472efaa1ae752de978585b55f4c5c
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