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    <title>transformer</title>
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    <updated>2026-05-01T02:42:55+00:00</updated>
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            <title type="text"><![CDATA[🤗 Transformers]]></title>
            <link rel="alternate" href="https://huggingface.co/docs/transformers/index" />
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            <author>
                <name><![CDATA[Biapy]]></name>
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            <summary type="text">
                <![CDATA[State-of-the-art Machine Learning for PyTorch, TensorFlow, and JAX.

🤗 Transformers provides APIs and tools to easily download and train state-of-the-art pretrained models. Using pretrained models can reduce your compute costs, carbon footprint, and save you the time and resources required to train a model from scratch. 

- [🤗 Transformers @ GitHub](https://github.com/huggingface/transformers).

Related contents:

- [Running inference in web extensions @ dist://ed](https://blog.mozilla.org/en/mozilla/ai/ai-tech/running-inference-in-web-extensions/).]]>
            </summary>
            <updated>2025-08-28T20:53:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5086</id>
            <title type="text"><![CDATA[Lightning CSS]]></title>
            <link rel="alternate" href="https://lightningcss.dev/" />
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            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An extremely fast CSS parser, transformer, bundler, and minifier.

[Lightning CSS @ GitHub](https://github.com/parcel-bundler/lightningcss)]]>
            </summary>
            <updated>2025-08-29T06:04:24+00:00</updated>
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