---
pipeline_tag: text-classification
widget:
- text: "Pani Katarzyno z jakiej racji moja paczka przyszła do sąsiada zamiast do mnie? Nie można poprawnie nadać paczki?"
  example_title: "Sentiment"
license: cc-by-4.0
language: 
- pl
---

<img src="https://public.3.basecamp.com/p/rs5XqmAuF1iEuW6U7nMHcZeY/upload/download/VL-NLP-short.png" alt="logo voicelab nlp" style="width:300px;"/>

# Sentiment Classification in Polish

```
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("Voicelab/herbert-base-cased-sentiment")

model = AutoModelForSequenceClassification.from_pretrained("Voicelab/herbert-base-cased-sentiment")

```


### Overview
- **Language model:** [allegro/herbert-base-cased](https://huggingface.co/allegro/herbert-base-cased)   
- **Language:** pl
- **Training data:** Reviews + own data
- **Blog post:** [Sentiment analysis - COVID-19 – the source of the heated discussion](https://voicelab.ai/covid-19-the-source-of-the-heated-discussion)