Typed decisions on LiteRT
Models that read a text and pick one of the options you write, each with a probability. LiteRT conversions for Android, all Apache-2.0.
Text Classification • Updated • 960 • 4Note laya by convaiinnovations: the English (ModernBERT-large) and multilingual (mmBERT-base) checkpoints, six variants, token ids in.
litert-community/Laya-Multilingual-LiteRT
Text Classification • Updated • 1.54k • 6Note laya's multilingual checkpoint (mmBERT-base), validated in English and Japanese; the host looks up the embedding rows. Android sample on the card.
litert-community/Laya-English-LiteRT
Text Classification • Updated • 568 • 1Note laya's English checkpoint (ModernBERT-large) and its typed-decisions fine-tune; the host looks up the embedding rows.
litert-community/Julia-1-LiteRT
Text Classification • Updated • 123 • 1Note Julia-1 by Supersonic Labs (mmBERT-small); 2 to 20 options per question; GPU in FP32 or CPU.
litert-community/GLiNER2.5-Decide-LiteRT
Text Classification • Updated • 497 • 11Note GLiNER2.5-Decide by fastino (DeBERTa-v3-large), English; up to 32 labels in one pass; 128-, 256- and 512-token windows.
litert-community/GLiClass-Edge-v3.0-LiteRT
Zero-Shot Classification • Updated • 134 • 1Note GLiClass-Edge v3.0 by Knowledgator (Ettin encoder), English; up to 25 labels in one pass; a 54 MB graph.
litert-community/Open-Decision-DeBERTa-v3-Large-LiteRT
Text Classification • Updated • 111 • 1Note A DeBERTa-v3-large decision model by Mithril (formerly Kotoba Cloud), English; several questions about one text in one pass.