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--- |
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language: |
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- ru |
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tags: |
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- sentiment |
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- text-classification |
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datasets: |
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- Tatyana/ru_sentiment_dataset |
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--- |
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# RuBERT for Sentiment Analysis |
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Russian texts sentiment classification. |
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Model trained on [Tatyana/ru_sentiment_dataset](https://huggingface.co/datasets/Tatyana/ru_sentiment_dataset) |
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## Labels meaning |
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0: NEUTRAL |
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1: POSITIVE |
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2: NEGATIVE |
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## How to use |
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```python |
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!pip install tensorflow-gpu |
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!pip install deeppavlov |
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!python -m deeppavlov install squad_bert |
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!pip install fasttext |
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!pip install transformers |
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!python -m deeppavlov install bert_sentence_embedder |
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from deeppavlov import build_model |
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model = build_model(path_to_model/config.json) |
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model(["Сегодня хорошая погода", "Я счастлив проводить с тобою время", "Мне нравится эта музыкальная композиция"]) |
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``` |
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