Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-dl4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-dl4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-dl4") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-base-dl4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48bd5528063fcb2a22becd0ae46cfc34eec0ff0c4de84f859176fd7af16d8ce8
- Size of remote file:
- 590 MB
- SHA256:
- 6bda5ff4802b81bc78c427b51e972efafdf412a4997007d4e2e870a9291e6ed9
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