Comments (1)
I'm happy to hear that my project has helped you write your own project. Don't worry about citations. As long as you link back to the repo or the documentation (which you already do), then you're good.
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Related Issues (20)
- TypeError: __init__() got an unexpected keyword argument 'gradient_checkpointing' HOT 1
- predictions_website.py raises AttributeError: '_LazyAutoMapping' object has no attribute '_mapping' HOT 6
- ModuleNotFoundError: No module named 'extractive' HOT 1
- AttributeError: '_LazyAutoMapping' object has no attribute '_mapping' HOT 1
- Abstractive BART Model , RuntimeError: The size of tensor a (64000) must match the size of tensor b (64001) at non-singleton dimension 1
- ValueError: Connection error, and we cannot find the requested files in the cached path. Please try again or make sure your Internet connection is on. HOT 3
- error when training an extractive summarization model HOT 2
- Found keys that are in the model state dict but not in the checkpoint HOT 3
- Suggest about the index order of extractive results
- After extractive training, a process on one GPU won't terminate automatically.
- Fine-tuning/Inference commands for "roberta-base-ext-sum"
- '--data_type' is not accepted when running main.py (extractive mode)
- Why tokenize twice?
- TypeError: forward() got an unexpected keyword argument 'source'
- Instruction for fine tune
- Installation via Pip
- Some versioning problems when installing the environment HOT 2
- pytorch_lightning.callbacks update HOT 1
- RoBERTa & Longformer extractive model checkpoints availability
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