# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("szymonpindur/herbert-onom-interjection-recognition")
model = AutoModelForTokenClassification.from_pretrained("szymonpindur/herbert-onom-interjection-recognition")Quick Links
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
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="szymonpindur/herbert-onom-interjection-recognition")