Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-large-dl2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-large-dl2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-large-dl2") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-large-dl2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26b511a3baf16b17e67d001c70892878a11c4de124241baa8bb2e70d8e0b8f5b
- Size of remote file:
- 1.47 GB
- SHA256:
- 7b5a11f972747eb4a5e566fd4dd69ed92923a9eaed7ca4ae1ab5117b140cd295
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