# RuBERT for NLI (natural language inference)

This is the [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rubert-base-cased) fine-tuned to predict the logical relationship between two short texts: entailment or not entailment.

For more details, see the card for a similar model: https://huggingface.co/cointegrated/rubert-base-cased-nli-threeway
{"language": "ru", "tags": ["rubert", "russian", "nli", "rte", "zero-shot-classification"], "datasets": ["cointegrated/nli-rus-translated-v2021"], "pipeline_tag": "zero-shot-classification", "widget": [{"text": "\u042f \u0445\u043e\u0447\u0443 \u043f\u043e\u0435\u0445\u0430\u0442\u044c \u0432 \u0410\u0432\u0441\u0442\u0440\u0430\u043b\u0438\u044e", "candidate_labels": "\u0441\u043f\u043e\u0440\u0442,\u043f\u0443\u0442\u0435\u0448\u0435\u0441\u0442\u0432\u0438\u044f,\u043c\u0443\u0437\u044b\u043a\u0430,\u043a\u0438\u043d\u043e,\u043a\u043d\u0438\u0433\u0438,\u043d\u0430\u0443\u043a\u0430,\u043f\u043e\u043b\u0438\u0442\u0438\u043a\u0430", "hypothesis_template": "\u0422\u0435\u043c\u0430 \u0442\u0435\u043a\u0441\u0442\u0430 - {}."}]}
transformers pytorch safetensors bert text-classification rubert russian nli rte zero-shot-classification ru dataset:cointegrated/nli-rus-translated-v2021 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #bert #text-classification #rubert #russian #nli #rte #zero-shot-classification #ru #dataset-cointegrated/nli-rus-translated-v2021 #autotrain_compatible #endpoints_compatible #region-us 

# RuBERT for NLI (natural language inference)

This is the DeepPavlov/rubert-base-cased fine-tuned to predict the logical relationship between two short texts: entailment or not entailment.

For more details, see the card for a similar model: URL
# RuBERT for NLI (natural language inference)

This is the DeepPavlov/rubert-base-cased fine-tuned to predict the logical relationship between two short texts: entailment or not entailment.

For more details, see the card for a similar model: URL
TAGS
#transformers #pytorch #safetensors #bert #text-classification #rubert #russian #nli #rte #zero-shot-classification #ru #dataset-cointegrated/nli-rus-translated-v2021 #autotrain_compatible #endpoints_compatible #region-us 
 # RuBERT for NLI (natural language inference)

This is the DeepPavlov/rubert-base-cased fine-tuned to predict the logical relationship between two short texts: entailment or not entailment.

For more details, see the card for a similar model: URL
passage: TAGS
#transformers #pytorch #safetensors #bert #text-classification #rubert #russian #nli #rte #zero-shot-classification #ru #dataset-cointegrated/nli-rus-translated-v2021 #autotrain_compatible #endpoints_compatible #region-us 
# RuBERT for NLI (natural language inference)

This is the DeepPavlov/rubert-base-cased fine-tuned to predict the logical relationship between two short texts: entailment or not entailment.

For more details, see the card for a similar model: URL