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Natural Language Processing
Feature Extraction
Extract dense vector embeddings from text for downstream tasks like search and clustering.
—models available
Related Tasks
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Text Generation
Generate text given a prompt, including open-ended generation and conditional generation.
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Text Classification
Classify text into predefined categories such as sentiment, topic, or intent.
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Token Classification
Label individual tokens in a sequence — used for NER, POS tagging, and chunking.
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Question Answering
Extract or generate answers to questions based on a given context passage.