Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-large-dl8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-large-dl8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-large-dl8") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-large-dl8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 125d8fb5c2dcaace74c6e1706909820fd891af13627a754ff3139581dfaee9f3
- Size of remote file:
- 1.88 GB
- SHA256:
- 01c6c23370dbb643f26b4932959d659ef8f74bdfcd96c93b0813b30611ae51b7
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