Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use MadFace/t5-cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MadFace/t5-cnn with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MadFace/t5-cnn") model = AutoModelForSeq2SeqLM.from_pretrained("MadFace/t5-cnn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b83295a202cc5d7d74a89986354f923d615f9deb71027d48b9add707f244dba
- Size of remote file:
- 892 MB
- SHA256:
- f64a524b78d008a33597d113badd6f817adc5cb80fc6a433067a3d3578ed0c25
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