Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-el8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-el8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-el8") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-base-el8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f81211d4f7d42a119a2daf0d17af2dd7659c0ec68bc8db43d70fe795ad29ff5b
- Size of remote file:
- 778 MB
- SHA256:
- fe68f7c779cf2c7a0fb4cd6c6d25edbb358712d746121c1a2eb7de2026b6bce0
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