Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-el6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-el6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-el6") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-base-el6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78a2665631900cbdb9ce4a7a8da4fd07a766b3eb64cf6610019cc7c4d44b2471
- Size of remote file:
- 722 MB
- SHA256:
- 2af486f2809d16b4fd6b9695db3904ee89f12f093c733dfc977cf259034f8a12
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