MonoHime/rubert_conversational_cased_sentiment

Keras model with ruBERT conversational embedder for Sentiment Analysis

Russian texts sentiment classification.

Model trained on Tatyana/ru_sentiment_dataset

Labels meaning

0: NEUTRAL
1: POSITIVE
2: NEGATIVE

How to use

!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"])