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The task is a multi-class classification with the following labels:

0: neutral
1: positive
2: negative

Label to Russian label:

neutral: нейтральный
positive: позитивный
negative: негативный

Usage

from transformers import pipeline
model = pipeline(model="seara/rubert-tiny2-russian-sentiment")
model("Привет, ты мне нравишься!")
# [{'label': 'positive', 'score': 0.9398769736289978}]
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Dataset used to train mikhmanoff/bert_ru