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5e6d21d
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Parent(s):
0ef5edb
Update app.py
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app.py
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@@ -80,12 +80,12 @@ examples = [
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title = "<center><img src='https://thoucentric.com/wp-content/themes/cevian-child/assets/img/Thoucentric-Logo.png' alt='Thoucentric-Logo'></center><br
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description = ("<br><br>In traditional machine learning, it can be challenging to train an accurate model if there is a lack of labeled data specific to the task or domain of interest. Transfer learning offers a way to address this issue by utilizing the pre-existing labeled data from a similar task or domain to improve model performance. By transferring knowledge learned from one task to another, transfer learning enables us to overcome the limitations posed by a shortage of labeled data, and to train more effective models even in data-scarce scenarios. We try to store this knowledge gained in solving the source task in the source domain and applying it to our problem of interest. In this work, I have utilized Transfer Learning utilizing BERT BASE UNCASED model to fine-tune on Big-Five Personality traits Dataset.")
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Fotter = (
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"<center>Copyright © 2023 Thoucentric
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app = gr.Interface(
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]
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title = "<center><a href=\"https://thoucentric.com/\"><img src='https://thoucentric.com/wp-content/themes/cevian-child/assets/img/Thoucentric-Logo.png' alt='Thoucentric-Logo'></a></center><br>Big Five Personality Traits Detection From Expository text features"
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description = ("<br><br>In traditional machine learning, it can be challenging to train an accurate model if there is a lack of labeled data specific to the task or domain of interest. Transfer learning offers a way to address this issue by utilizing the pre-existing labeled data from a similar task or domain to improve model performance. By transferring knowledge learned from one task to another, transfer learning enables us to overcome the limitations posed by a shortage of labeled data, and to train more effective models even in data-scarce scenarios. We try to store this knowledge gained in solving the source task in the source domain and applying it to our problem of interest. In this work, I have utilized Transfer Learning utilizing BERT BASE UNCASED model to fine-tune on Big-Five Personality traits Dataset.")
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Fotter = (
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"<center>Copyright © 2023 <a href=\"https://thoucentric.com/\">Thoucentric</a>. All Rights Reserved</center>"
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)
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app = gr.Interface(
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