Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-el16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-el16 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-el16") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-base-el16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f4c9d8d17d23eda2427379ac70f432d9a834e6720c5c4cbf85f43408f99d34a
- Size of remote file:
- 1.01 GB
- SHA256:
- c1aaeb6f6428fbcc71dbda913549275ff165f7547eb792fab414ef17467877d5
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