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feat: hashformers[spacy] installation
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@ -75,7 +75,7 @@
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"slogan": "Word segmentation with transformers and beam search",
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"description": "Hashformers uses transformers and beam search to segment text without spaces into words. It fills the gap between heuristic-based splitters and LLM prompt-based segmentation, supporting any Hugging Face model. Recognized as state-of-the-art for hashtag segmentation at LREC 2022.",
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"github": "ruanchaves/hashformers",
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"pip": "hashformers",
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"pip": "hashformers[spacy]",
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"code_example": [
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"import spacy",
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"import hashformers.spacy # registers the 'hashformers' component",
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