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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4819bf6f20677d335432ca7613dadf2d28f5393a8c6f3ebbfb7d6cd5da845b48
- Size of remote file:
- 242 MB
- SHA256:
- 74ed654001a37d14861fabed2da566522829a04be174ca8f91f204bf122b7e71
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