text-seg-lm-qwen2-0.5b
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View details ↗DISCOVER & COMPARE
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View details ↗babylm-zh-run10a
jingedawang基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗bit-jev-2b-distilled
jinghao1632基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗lotus-depth-d-v2-0-disparity
jingheya基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗lotus-depth-g-v1-0
jingheya基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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jingheya基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗minimind-3
jingyaogong基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗minimind-3-gguf
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View details ↗MiniMind2-gguf
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View details ↗bros-base-uncased
jinho8345BROS (BERT Relying On Spatiality) is a pre-trained language model focusing on text and layout for better key information extraction from documents. Given the OCR results of the document image, which are text and bounding box pairs, it can perform various key information extraction tasks, such as extracting an ordered item list from receipts. For more details, please refer to our paper: BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents Teakgyu Hong, Donghyun Kim, Mingi Ji, Wonseok Hwang, Daehyun Nam, Sungrae Park AAAI 2022 - Main Technical Track
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View details ↗MiniMax-H3
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View details ↗kcELECTRA-toxic-detector
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View details ↗kpfbert
jinmang2基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗joraMindFR_0.4B_A0.1B_MOE_Base
jinofy-corp基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Bonsai-REDUX2-gguf-Q2_K-altered
jinreiyu基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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