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:
- 256af38d85a5036b0604fb9530844de195e981f30b2542e3a7e4cea7ec66ae3c
- Size of remote file:
- 125 MB
- SHA256:
- ccab96552cc21c5e81cf06e0ec3f4d2855f5791d24cdd7cc2a324a08df4ca08b
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