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rubert_conversational_cased_sentiment
MonoHime/rubert_conversational_cased_sentiment
rubert_conversational_cased_sentiment is a text classification model from MonoHime. Use it when you need a label for a piece of text. It is set up for transformers.
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Repo size
1.5 GB
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2
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.bin714 MB · 97%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- May 19, 2021
- SHA
- 95945f1f
Try a prompt
Datasets
Model card
From the Hugging Face model README
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"])
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- ru
- Created
- Mar 2, 2022
- Updated
- May 19, 2021