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:
- 5065774f7af746600e3771d2c0513b3447365c13447eca89795ca8e01777fec8
- Size of remote file:
- 242 MB
- SHA256:
- e2a469b5cce05d1ac6f42d369d61127c4f340ce8a396bd5a0afdf7a6c31a4b9a
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