Tiny entailment head
According to the model card, the model predicts the logical relationship between two short texts as entailment or not entailment.
Open Source Model Profile · cointegrated
rubert-tiny-bilingual-nli is an 11.79M-parameter BERT zero-shot-classification model from cointegrated. Its model card documents entailment prediction between short texts.
rubert-tiny-bilingual-nli is published by cointegrated as a zero-shot-classification model. The captured configuration identifies BertForSequenceClassification and Safetensors metadata reports 11,785,306 parameters. According to the model card, it is cointegrated/rubert-tiny fine-tuned for entailment or non-entailment.
According to the model card, the model predicts the logical relationship between two short texts as entailment or not entailment.
According to the model card, this checkpoint fine-tunes cointegrated/rubert-tiny; hub tags also record a translated Russian NLI dataset.
Source: cointegrated/rubert-tiny-bilingual-nli
Captured: Unknown. Processed: 2026-09-07T19:34:42.803076+00:00.
RuBERT-tiny for NLI (natural language inference) This is the cointegrated/rubert-tiny model fine-tuned to predict the logical relationship between two short texts: entailment or not entailment. For more details, see the card for a related model: https://huggingface.co/cointegrated/rubert-base-cased-nli-threeway
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