Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-dl8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-dl8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-dl8") model = AutoModelForMultimodalLM.from_pretrained("google/t5-efficient-base-dl8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48ceab2e5c759e38b72ee337c4c163268f170452906702570237bce101864cfa
- Size of remote file:
- 741 MB
- SHA256:
- 01eb293a942193bff5fa70b2984895ed7ad5eb3e79867ad07eb989bbaa66f48d
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