Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-base-dm512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-base-dm512 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-dm512") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-base-dm512") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 110df2dfa7f468439f06efe58836a36444306e58a4162b67b019588512689c11
- Size of remote file:
- 595 MB
- SHA256:
- ee28748bef551e47c645dcd3e838b347b75ac0109f378de718b0c7e5850cd6de
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