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:
- 75a2c54c4c395baad20437779f5a9abbae71197910f850b49fb4f5db37070ad7
- Size of remote file:
- 3.71 kB
- SHA256:
- 69bb56e09e30e0fea0a21e2e9a1e6ed848a18acb05356feef33f1c3b9fb002be
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