Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-dl6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-dl6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-dl6") model = AutoModelForMultimodalLM.from_pretrained("google/t5-efficient-base-dl6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9de282c5484f73693670972aed0cf203e265bc0846f056caa7907baa517334e
- Size of remote file:
- 665 MB
- SHA256:
- 05d0a83b1ffc6bc9f17bcb61b2930860143e38030370ca3fdec01e049ca0798a
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