TransformerSum
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HHousen
Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
Hi there! I was trying to finetune the distillbert model following the command from https://wandb.ai/hhousen/transformerextsum/runs/296s2066/overview and removing all unavailable tags. I used my custom json dataset following the guideline at...
I'm glad to find such a good project. I tried running **_ExtractiveSummarizer.load_from_checkpoint(my_model_path, strict=False_**) and it triggers an error: UserWarning: Found keys that are in the model state dict but not...
I'm trying to adapt TransformerSum to a non-English custom dataset and currently very confused about this code in `extractive.py`: https://github.com/HHousen/TransformerSum/blob/15bd11d3532ae2bd43f6b8aca2198483df701460/src/extractive.py#L1093-L1107 - Why separate the words with spaces, when the resulting...
Hi Hayden - thanks for making this repo (it's very helpful). I'm trying to re-create the best Extractive models on my own machines so I can modify. Can you help...
I've found this process was launched by this command: `python -c from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=24, pipe_handle=317) --multiprocessing-fork` The process of extractive training is over. I got the checkpoint which...
Hi, I've got an error when fine tune Abstractive BART model ``` | Name | Type | Params ------------------------------------------------------------ 0 | model | MBartForConditionalGeneration | 420 M 1 | loss_func...
After reading the documentation, it looks like the Extractive Summarization components only score sentences. While this is how the vast majority of extractive summarization papers work, some extractive summarization systems...
I try to apply your work to other language. Is it possible for me to use existing models shown in README, fine-tuning them with my data. Any suggestion is appreciated.
Hi, I'm interested in using either one of the models mentioned in the title, however [this page](https://transformersum.readthedocs.io/en/latest/extractive/models-results.html#pretrained-ext) mentions that checkpoints are still not available to be used. On the other...
Is it possible to install this via pip?? I am trying to run extractive summarization on a collab notebook, which doesn't really support conda.
