45-language detection scope
According to the model card, the model detects 45 languages, with the page listing languages from Arabic and Basque to Turkish, Ukrainian, and Welsh.
Open Source Model Profile · jb2k
bert-base-multilingual-cased-language-detection is a BERT text-classification fine-tune from jb2k for language detection across 45 languages.
bert-base-multilingual-cased-language-detection is published by jb2k as a Transformers text-classification model. The captured configuration identifies BertForSequenceClassification and bert. According to the model card, it fine-tunes bert-base-multilingual-cased on the common language dataset for detection across 45 languages.
According to the model card, the model detects 45 languages, with the page listing languages from Arabic and Basque to Turkish, Ukrainian, and Welsh.
According to the model card, this model was created by fine-tuning bert-base-multilingual-cased on the common language dataset.
Captured config reports BertForSequenceClassification and bert for text classification.
According to the model card, evaluation on the test split of the common language dataset achieved 97.8% accuracy.
Source: jb2k/bert-base-multilingual-cased-language-detection
Captured: Unknown. Processed: 2026-09-07T19:34:47.923326+00:00.
bert-base-multilingual-cased-language-detection A model for language detection with support for 45 languages Model description This model was created by fine-tuning bert-base-multilingual-cased on the common language dataset. This dataset has support for 45 languages, which are listed below: Arabic, Basque, Breton, Catalan, Chinese_China, Chinese_Hongkong, Chinese_Taiwan, Chuvash, Czech, Dhivehi, Dutch, English, Esperanto, Estonian, French, Frisian, Georgian, German, Greek, Hakha_Chin, Indonesian, Interlingua, Italian, Japanese, Kabyle, Kinyarwanda, Kyrgyz, Latvian, Maltese, Mongolian, Persian, Polish, Portuguese, Romanian, Romansh_…
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