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# HerBERT Polish Onomatopoeia Recognition


This model is a finetuned HerBERT large model (cased) on a sample of 800 sentences containing onomatopoeia from the Mirosław Bańko's Współczesny polski onomatopeikon: ikoniczność w języku (Bańko, 2008).
The model allows to detect onomatopoeia in the form of interjections in any given text.

## Model Details

### Model Description

- **Developed by** Szymon Pindur, Jagiellonian University in Krakow
- **Model type** Token classification
- **Language(s) (NLP)** Polish
- **Finetuned from model [optional]** herbert-large-cased
{"language": ["pl"], "pipeline_tag": "token-classification", "widget": [{"text": "Rozleg\u0142o si\u0119 g\u0142o\u015bne buuum.", "example_title": "Example 1"}, {"text": "\u0106wir, \u0107wir, \u015bpiewa\u0142y ptaki.", "example_title": "Example 2"}, {"text": "Dzbanek spad\u0142 na pod\u0142og\u0119: trrrrach!", "example_title": "Example 3"}]}
transformers pytorch bert token-classification pl autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #token-classification #pl #autotrain_compatible #endpoints_compatible #region-us 

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# HerBERT Polish Onomatopoeia Recognition


This model is a finetuned HerBERT large model (cased) on a sample of 800 sentences containing onomatopoeia from the Mirosław Bańko's Współczesny polski onomatopeikon: ikoniczność w języku (Bańko, 2008).
The model allows to detect onomatopoeia in the form of interjections in any given text.

## Model Details

### Model Description

- Developed by Szymon Pindur, Jagiellonian University in Krakow
- Model type Token classification
- Language(s) (NLP) Polish
- Finetuned from model [optional] herbert-large-cased
# HerBERT Polish Onomatopoeia Recognition


This model is a finetuned HerBERT large model (cased) on a sample of 800 sentences containing onomatopoeia from the Mirosław Bańko's Współczesny polski onomatopeikon: ikoniczność w języku (Bańko, 2008).
The model allows to detect onomatopoeia in the form of interjections in any given text. ## Model Details ### Model Description

- Developed by Szymon Pindur, Jagiellonian University in Krakow
- Model type Token classification
- Language(s) (NLP) Polish
- Finetuned from model [optional] herbert-large-cased
TAGS
#transformers #pytorch #bert #token-classification #pl #autotrain_compatible #endpoints_compatible #region-us 
 # HerBERT Polish Onomatopoeia Recognition


This model is a finetuned HerBERT large model (cased) on a sample of 800 sentences containing onomatopoeia from the Mirosław Bańko's Współczesny polski onomatopeikon: ikoniczność w języku (Bańko, 2008).
The model allows to detect onomatopoeia in the form of interjections in any given text. ## Model Details ### Model Description

- Developed by Szymon Pindur, Jagiellonian University in Krakow
- Model type Token classification
- Language(s) (NLP) Polish
- Finetuned from model [optional] herbert-large-cased
TAGS
#transformers #pytorch #bert #token-classification #pl #autotrain_compatible #endpoints_compatible #region-us 
# HerBERT Polish Onomatopoeia Recognition


This model is a finetuned HerBERT large model (cased) on a sample of 800 sentences containing onomatopoeia from the Mirosław Bańko's Współczesny polski onomatopeikon: ikoniczność w języku (Bańko, 2008).
The model allows to detect onomatopoeia in the form of interjections in any given text.## Model Details### Model Description

- Developed by Szymon Pindur, Jagiellonian University in Krakow
- Model type Token classification
- Language(s) (NLP) Polish
- Finetuned from model [optional] herbert-large-cased