Kishan

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Note I have already pip install accelerate, bitsandbytes

Load the model, preprocess the text using seq and padding, and then predict the emotion.

Donot encode the labels i.e. skip the previous line of code encoding = { 'joy': 0, 'sadness': 1, 'fear': 2, 'anger': 3, 'neutral': 4 } # Integer values for each...

They also provide you with email notification of the response received, unlike formcarry which only allows in-app service.

They provide 100 submissions (50 if you dont join their free newsletter). I believe that should be good to go.

https://www.linkedin.com/help/linkedin/answer/a1341387#:~:text=In%20order%20to%20protect%20our,automate%20activity%20on%20LinkedIn's%20website.

Please let me know if I am wrong. I will first collect a dataset to fine-tune the model. secondly, I will get the embedding of each of the voice audio...