Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use machinelearningzuu/paper-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use machinelearningzuu/paper-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("machinelearningzuu/paper-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("machinelearningzuu/paper-summarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d5cb68e53e3aabe9f28a51013c7d2890efa3e5c6c305d678c70c0e5e396df8c
- Size of remote file:
- 4.16 kB
- SHA256:
- 05455d08be353cb16ae1475e8b46f390f401feec42d9f2451e5aaa52381fed55
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