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    <title>PyPI recent updates for TokeNicer</title>
    <link>https://pypi.org/project/tokenicer/</link>
    <description>Recent updates to the Python Package Index for TokeNicer</description>
    <language>en</language>    <item>
      <title>0.0.12</title>
      <link>https://pypi.org/project/tokenicer/0.0.12/</link>
      <description>A (nicer) tokenizer you want to use for model `inference` and `training`: with all known peventable `gotchas` normalized or auto-fixed.</description>
<author>qubitium@modelcloud.ai</author>      <pubDate>Thu, 26 Mar 2026 06:19:13 GMT</pubDate>
    </item>    <item>
      <title>0.0.11</title>
      <link>https://pypi.org/project/tokenicer/0.0.11/</link>
      <description>A (nicer) tokenizer you want to use for model `inference` and `training`: with all known peventable `gotchas` normalized or auto-fixed.</description>
<author>qubitium@modelcloud.ai</author>      <pubDate>Sun, 15 Mar 2026 16:33:49 GMT</pubDate>
    </item>    <item>
      <title>0.0.10</title>
      <link>https://pypi.org/project/tokenicer/0.0.10/</link>
      <description>A (nicer) tokenizer you want to use for model `inference` and `training`: with all known peventable `gotchas` normalized or auto-fixed.</description>
<author>qubitium@modelcloud.ai</author>      <pubDate>Sun, 15 Mar 2026 10:32:01 GMT</pubDate>
    </item>    <item>
      <title>0.0.9</title>
      <link>https://pypi.org/project/tokenicer/0.0.9/</link>
      <description>A (nicer) tokenizer you want to use for model `inference` and `training`: with all known peventable `gotchas` normalized or auto-fixed.</description>
<author>qubitium@modelcloud.ai</author>      <pubDate>Sun, 15 Mar 2026 00:37:09 GMT</pubDate>
    </item>    <item>
      <title>0.0.8</title>
      <link>https://pypi.org/project/tokenicer/0.0.8/</link>
      <description>A (nicer) tokenizer you want to use for model `inference` and `training`: with all known peventable `gotchas` normalized or auto-fixed.</description>
<author>qubitium@modelcloud.ai</author>      <pubDate>Fri, 06 Mar 2026 01:03:21 GMT</pubDate>
    </item>    <item>
      <title>0.0.7</title>
      <link>https://pypi.org/project/tokenicer/0.0.7/</link>
      <description>A (nicer) tokenizer you want to use for model `inference` and `training`: with all known peventable `gotchas` normalized or auto-fixed.</description>
<author>qubitium@modelcloud.ai</author>      <pubDate>Tue, 03 Mar 2026 00:50:52 GMT</pubDate>
    </item>    <item>
      <title>0.0.6</title>
      <link>https://pypi.org/project/tokenicer/0.0.6/</link>
      <description>A (nicer) tokenizer you want to use for model `inference` and `training`: with all known peventable `gotchas` normalized or auto-fixed.</description>
<author>qubitium@modelcloud.ai</author>      <pubDate>Mon, 09 Feb 2026 08:28:07 GMT</pubDate>
    </item>    <item>
      <title>0.0.5</title>
      <link>https://pypi.org/project/tokenicer/0.0.5/</link>
      <description>A (nicer) tokenizer you want to use for model `inference` and `training`: with all known peventable `gotchas` normalized or auto-fixed.</description>
<author>qubitium@modelcloud.ai</author>      <pubDate>Thu, 04 Sep 2025 05:12:20 GMT</pubDate>
    </item>    <item>
      <title>0.0.4</title>
      <link>https://pypi.org/project/tokenicer/0.0.4/</link>
      <description>A (nicer) tokenizer you want to use for model `inference` and `training`: with all known peventable `gotchas` normalized or auto-fixed.</description>
<author>qubitium@modelcloud.ai</author>      <pubDate>Fri, 21 Feb 2025 09:37:31 GMT</pubDate>
    </item>    <item>
      <title>0.0.3</title>
      <link>https://pypi.org/project/tokenicer/0.0.3/</link>
      <description>A (nicer) tokenizer you want to use for model `inference` and `training`: with all known peventable `gotchas` normalized or auto-fixed.</description>
<author>qubitium@modelcloud.ai</author>      <pubDate>Fri, 21 Feb 2025 07:18:36 GMT</pubDate>
    </item>    <item>
      <title>0.0.2</title>
      <link>https://pypi.org/project/tokenicer/0.0.2/</link>
      <description>A (nicer) tokenizer you want to use for model `inference` and `training`: with all known peventable `gotchas` normalized or auto-fixed.</description>
<author>qubitium@modelcloud.ai</author>      <pubDate>Mon, 10 Feb 2025 13:42:25 GMT</pubDate>
    </item>    <item>
      <title>0.0.1</title>
      <link>https://pypi.org/project/tokenicer/0.0.1/</link>
      <description>A (nicer) tokenizer you want to use for model `inference` and `training`: with all known peventable `gotchas` normalized or auto-fixed.</description>
<author>qubitium@modelcloud.ai</author>      <pubDate>Mon, 10 Feb 2025 11:27:34 GMT</pubDate>
    </item>    <item>
      <title>0.0.1.dev0</title>
      <link>https://pypi.org/project/tokenicer/0.0.1.dev0/</link>
      <description>A nicer tokenizer</description>
<author>qubitium@modelcloud.ai</author>      <pubDate>Sat, 08 Feb 2025 03:12:51 GMT</pubDate>
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