Text Classification Using BERT,Easiest way Guaranteed! NLP | Deep Learning

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Video explains about the implementation of BERT by taking example of Sentiment Analysis using SIMPLE TRANSFORMER Library. This is the one of the easiest way you can use to implement BERT. Following links are provided for the reference:

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  1. Karndeep Singh
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Комментарии
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Hi thank you for the video, I currently following your steps at training the model and I can see yours running quickly however mine taking ages to complete 1%. Is there any reason behind this? or u can suggest something?

dovsfbi
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Great work karndeep. i saw both your videos in krish's channel, and you are such an inspiration.. i really learnt a lot from you

shaikbalajibabu
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Hi
when i try to run preds, model_ouputs = model.predict(x_test.values)
I am getting the following error can you please help on this .
ValueError: text input must of type `str` (single example), `List[str]` (batch or single pretokenized example) or `List[List[str]]` (batch of pretokenized examples).

santhoshmurthy
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May I know why you didn't tokenize and embed the text data before training the model??

samuelpaul
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Is it possible to fine tune data in this simple transformer library ??

dv