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added one dimension into my tokenized data
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changed the inputs into tensors and added the maximum amount of padding elements
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changes the output into proper format
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Update app.py
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making the output simple
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Update app.py
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changed the input to the model so that it can become in input ids and attention mask
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changed it back to 2 again but its still dynamic
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changed the number of outputs and made it dynamic
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Update app.py
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Update app.py
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making the model return logits
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Update app.py
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the fr.outputs doesn't exist had to be removed
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Update app.py
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made the the gradio different for input and output
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removed json
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added json file
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changed from table format into data frame format in the output section
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made the gr table again and removed redundant code
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changed from table into tabs
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made the output in table format
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the model classifier now returns probability distribution over all the labels
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extracting the scores from my model
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Update app.py
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imported torch
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Update app.py
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changed the missplelling and made the model gradients in active
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misspelled the autotokenizer and know it has been changed
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changed the condition of the return in the function of model classifier
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added torch module
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Create requirements.txt
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makeing the first interface
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initial commit
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