Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-large-el8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-large-el8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-large-el8") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-large-el8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b686c0695bb9aefca138ca2bf1e1241462180b976c4edce281e785cb5768a709
- Size of remote file:
- 2.15 GB
- SHA256:
- 7023fed818aa62508c35a9d175a390cbbf782f2d369be78d62db8fed7f3d80cb
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