Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-dl4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-dl4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-dl4") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-dl4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07d6bf78d20319c0660add9ac88f66fd5ad7e4f60d85f4233b536f1580f76a82
- Size of remote file:
- 208 MB
- SHA256:
- bf79fedb5feaa1c9662224c2157d2ced6f513c035b7263f1a9c8555586b157b5
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