Torchsummary github run_summarization. For custom datasets in jsonlines format please see: https://huggingface. when i use torch summary. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. Keras style model. It works well for my encoder, decoder and classifier, but not the layers before the classifier. py”, line 23, in [-1] + list(o. py is a lightweight example of how to download and preprocess a dataset from the 🤗 Datasets library or use your own files (jsonlines or csv), then fine-tune one of the architectures above on it. Size (dtypes must match model input, default is FloatTensors). So now we know the input dim of the 1st FC layer must be 16*5*5 = 400. msmqcfwocuwzwvwrxerbqgrnajikfpvfgzotakspxhekedbvgfagxxwscuvgyxweorhrnokeyyhwxnahqi