# English Document Processing
Florence2 EntityExtraction
MIT
Florence-2 DocVQA is a document visual question answering model fine-tuned based on the Microsoft Florence-2-large model, specifically designed for handling question-answering tasks in document images.
Image-to-Text
Transformers English

F
jena-shreyas
23
0
Rank Zephyr 7b V1 Full
MIT
RankZephyr is a language model trained based on Zephyr-7B-β, specializing in listwise reranking tasks and excelling across multiple datasets.
Large Language Model
Transformers English

R
castorini
3,107
21
Lilt Document QA
MIT
LiLT is a pre-trained model for Document Visual Question Answering (DocVQA) tasks, specifically designed for handling question-answering tasks in English documents.
Image-to-Text
Transformers English

L
TusharGoel
80
3
Keyphrase Extraction Kbir Openkp
MIT
A keyphrase extraction model based on the KBIR architecture, fine-tuned on the OpenKP dataset for extracting important keyphrases from English text
Sequence Labeling
Transformers English

K
ml6team
90
8
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