Inhalt - Natural Language Processing mit Transformern [Book]

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Inhalt

Einführung

1Hallo Transformer

Das Encoder-Decoder-Framework

Der Attention-Mechanismus

Einsatz von Transfer Learning im NLP

Die Transformers-Bibliothek von Hugging Face: die Lücke schließen

Die Anwendungsmöglichkeiten von Transformern im Überblick

Textklassifizierung

Named Entity Recognition

Question Answering

Automatische Textzusammenfassung (Summarization)

Maschinelle Übersetzung (Translation)

Textgenerierung

Das Ökosystem von Hugging Face

Der Hugging Face Hub

Die Tokenizers-Bibliothek von Hugging Face

Die Datasets-Bibliothek von Hugging Face

Die Accelerate-Bibliothek von Hugging Face

Die größten Herausforderungen im Zusammenhang mit Transformer-Modellen

Zusammenfassung

2Textklassifizierung

Ein erster Blick auf die ...

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