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models/pretrain/fasttextwiki.pt 277 MBmodels/depparse/mtg_muril-large-cased.pt 150 MBmodels/depparse/mtg_charlm.pt 130 MBmodels/ner/ilner_muril-large-cased.pt 101 MBmodels/depparse/mtg_nocharlm.pt 97 MBmodels/ner/ilner_charlm.pt 69 MBmodels/pos/mtg_muril-large-cased.pt 41 MBmodels/ner/ilner_nocharlm.pt 34 MBmodels/pos/mtg_charlm.pt 31 MBmodels/backward_charlm/oscar2022.pt 21 MBmodels/forward_charlm/oscar2022.pt 21 MBmodels/pos/mtg_nocharlm.pt 16 MBmodels/tokenize/mtg_charlm.pt 3 MBmodels/tokenize/mtg_nocharlm.pt 629.1 kBmodels/tokenize/mtg.pt 628.6 kBStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing. Find more about it in our website and our GitHub repository.
This card and repo were automatically prepared with hugging_stanza.py in the stanfordnlp/huggingface-models repo
Last updated 2026-09-29 20:08:22.042