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# 40 Language Support
Tf Xlm R Ner 40 Lang
Multilingual named entity recognition model based on XLM-Roberta-base, supporting entity recognition in 40 languages
Sequence Labeling
Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesT
jplu
969
25
M BERT Distil 40
A model based on distilbert-base-multilingual, fine-tuned to align the embedding space for 40 languages, matching the embedding space of CLIP text encoder.
Text-to-Image Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesM
M-CLIP
46
8
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