Comments (1)
The author gave a data sample :
https://github.com/nlpyang/PreSumm/blob/master/json_data/cnndm_sample.train.0.json
Just put your custom data in this format, preprocess the data using the commands given in the README and run your model on this data.
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Related Issues (20)
- Key error HOT 1
- Additional position embedding increase parameters of transformer?
- having [Errno 21] Is a directory: while running train for BertExtAbs
- step 4 converting to simpler json returning asci error
- TypeError: __init__() got an unexpected keyword argument 'temp_dir'
- example_add_guidance.py
- Error when testing BertAbs model HOT 2
- Acc is very low and does not converge during training
- Cannot load model via torch.load HOT 1
- xsum数据集 HOT 1
- data preprocessing: empty 'tgt' text HOT 1
- issue for converting to bert_data HOT 2
- Use pretrained model : train_from HOT 9
- Getting the same sequence for all input candidate in generation
- How to do inference using pretrained bertsum models?
- Training the BERT large extractive model
- How can i know if i download BERT successfully
- bert-base-uncased HOT 2
- error in step 3 HOT 1
- 在运行test模式,BertAbs模型时,遇到了RuntimeError: "index_select_out_cuda_impl" not implemented for 'Float' HOT 1
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