Commit History

  1. added one dimension into my tokenized data

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    1994400
  2. changed the inputs into tensors and added the maximum amount of padding elements

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    011a88c
  3. changes the output into proper format

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    c96e178
  4. Update app.py

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    3fcc24f
  5. making the output simple

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    8c2b131
  6. Update app.py

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    05ac656
  7. changed the input to the model so that it can become in input ids and attention mask

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    8439e92
  8. changed it back to 2 again but its still dynamic

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    29caf41
  9. changed the number of outputs and made it dynamic

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    4f2be89
  10. Update app.py

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    41cb5c7
  11. Update app.py

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    19a8531
  12. making the model return logits

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    ea6c015
  13. Update app.py

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    678e80d
  14. the fr.outputs doesn't exist had to be removed

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    f57b87c
  15. Update app.py

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    0d0201e
  16. made the the gradio different for input and output

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    b989a77
  17. removed json

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    0abf6b3
  18. added json file

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    06f64af
  19. changed from table format into data frame format in the output section

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    79090fb
  20. made the gr table again and removed redundant code

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    5bd08be
  21. changed from table into tabs

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    2678751
  22. made the output in table format

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    ce5c0eb
  23. the model classifier now returns probability distribution over all the labels

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    3711811
  24. extracting the scores from my model

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    082d447
  25. Update app.py

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    2dab15b
  26. imported torch

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    eeac5cc
  27. Update app.py

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    959ecc7
  28. changed the missplelling and made the model gradients in active

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    8ec0711
  29. misspelled the autotokenizer and know it has been changed

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    fc014d5
  30. changed the condition of the return in the function of model classifier

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    0b55b56
  31. added torch module

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    241b3cc
  32. Create requirements.txt

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    810a274
  33. makeing the first interface

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    a8c9879
  34. initial commit

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    82346e9