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:
- 6680c4444b935dbb02a32d504c08a1a64cb88e6c82adf91108d5e0bb2712395b
- Size of remote file:
- 3.71 kB
- SHA256:
- 5dd2e2b14c6180766ae3d12e90b40ea90759d53b3cb180795e50e784f2d71f42
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