Comments (1)
Technically a duplicate of #78. The solution is to downgrade pytorch-lightning to v1.6.5 by running pip install pytorch-lightning==1.6.5
. See #78 for more details.
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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
- A Chinese solution for TransformerSum-extractive, and I've implemented your work in my project HOT 1
- 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
- RoBERTa & Longformer extractive model checkpoints availability
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