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