Instructions to use igorktech/rubert-tiny-review with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use igorktech/rubert-tiny-review with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="igorktech/rubert-tiny-review")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("igorktech/rubert-tiny-review") model = AutoModelForSequenceClassification.from_pretrained("igorktech/rubert-tiny-review", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 486 Bytes
de09ebd ab160ba | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | ---
widget:
- text: "Мне не понравился ваш товар"
example_title: "Example"
---
# Model card
#### Trained on open joined datasets:
* clothes reviews
* different shops reviews
#### Data distribution
|FIELD1|sentiment|
|------|---------|
|positive|114599 |
|neutral|29079 |
|negative|28772 |
#### Score
|FIELD1|binary|micro |macro |
|------|------|------|------|
|0 |0.7165|0.9137|0.8328|
|1 |0.6011|0.8782|0.7646|
|2 |0.9542|0.94 |0.9336|
|