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rubert-base-cased-russian-sentiment
r1char9/rubert-base-cased-russian-sentiment
rubert-base-cased-russian-sentiment is a text classification model from r1char9. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
Модель RuBERT была дообучена на задачу sentiment classification для короткого Russian корпуса. Задача представляет собой multi-class classification со следующими метками:
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Feb 16, 2024
- Updated
- Apr 23, 2025
- SHA
- 364be199
Try a prompt
Model card
From the Hugging Face model README
Модель RuBERT была дообучена на задачу sentiment classification для короткого Russian корпуса. Задача представляет собой multi-class classification со следующими метками:
0: neutral
1: positive
2: negative
Usage
from transformers import pipeline
model = pipeline(model="r1char9/rubert-base-cased-russian-sentiment")
model("Привет, ты мне нравишься!")
# [{'label': 'positive', 'score': 0.8220236897468567}]
Dataset
Модель была натренирована на данных:
- Kaggle Russian News Dataset
- Linis Crowd 2015
- Linis Crowd 2016
- RuReviews
- RuSentiment
tokenizer.max_length: 256
batch_size: 32
optimizer: adam
lr: 0.00001
weight_decay: 0
epochs: 2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Languages
- ru
- Hf Inference
- live
- Created
- Feb 16, 2024
- Updated
- Apr 23, 2025