Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use phi0108/summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phi0108/summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("phi0108/summarization") model = AutoModelForSeq2SeqLM.from_pretrained("phi0108/summarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60491cb7f025a044849eda6abab5e396c8e95b55b8d7406fed78ff0ed3ec34da
- Size of remote file:
- 242 MB
- SHA256:
- 4fe21bab52c1ff3653c86a10889e86682211b7f9b31c95898dffd02f228efe98
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