A simple model trained on dialogues of characters in NBC series, `The Office`. The model can do a binary classification between `Michael Scott` and `Dwight Shrute`'s dialogues.

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    <td class="tg-c3ow">Label 0</td>
    <td class="tg-c3ow">Michael</td>
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{}
transformers pytorch bert text-classification autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us 

A simple model trained on dialogues of characters in NBC series, 'The Office'. The model can do a binary classification between 'Michael Scott' and 'Dwight Shrute''s dialogues.

<style type="text/css">
.tg  {border-collapse:collapse;border-spacing:0;}
.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;
  overflow:hidden;padding:10px 5px;word-break:normal;}
.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;
  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}
.tg .tg-c3ow{border-color:inherit;text-align:center;vertical-align:top}
</style>
<table class="tg">
<thead>
  <tr>
    <th class="tg-c3ow" colspan="2">Label Definitions</th>
  </tr>
</thead>
<tbody>
  <tr>
    <td class="tg-c3ow">Label 0</td>
    <td class="tg-c3ow">Michael</td>
  </tr>
  <tr>
    <td class="tg-c3ow">Label 1</td>
    <td class="tg-c3ow">Dwight</td>
  </tr>
</tbody>
</table>
TAGS
#transformers #pytorch #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us 
