ERROR:pytorch_pretrained_bert.modeling:Model name 'bert-large-uncased' was not found in model name list about bert-extractive-summarizer HOT 8 CLOSED

Even though I change all the model to 'bert-base-uncased', still having this error

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This might be due to the change in huggingface. I will look at updating the api tonight

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I guess it's because the internet issue... so I download the model myself and get rid of that issue. But I met another one which shows like IndexError: index -2 is out of bounds for dimension 0 with size 1. Change the hidden to 2 and get it works not sure why. Btw, thanks for the reply

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Should be resolved in newest pypi version

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@dmmiller612 Using transformers 2.8.0, spacy 2.2.3 and neuralcoref 4.0.0, I am getting the IndexError above when using a downloaded model and cannot manage to work around it. Can it be version issue?

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what version of bert-extractive-summarizer are you using?

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I am using 0.4.2 version

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So the above issue seems to work fine now. As for your model @FBruzzesi, do you have a link to the model you are trying to use? Long story short, the current implementation takes the second to last decoding layer as embedded output. If the model flattens the decoding layer, it would throw an error here.

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