XLM-R-BERTić-Tweet
XLM-R-BERTić-Tweet is a version of the XLM-R-BERTić-Tweet-Base*, fine-tuned for sentiment analysis using 5,610 annotated Serbian COVID-19 vaccination-related tweets. Specifically, it is tailored for five-class sentiment analysis to capture finer sentiment nuances in the social media domain using the following scale: very negative, negative, neutral, positive, and very positive.
*XLM-R-BERTić-Tweet-Base is based on the XLM-R-BERTić model, which has been additionally pretrained for the social media domain.
How to Use
To use the model, you can load it with the following code:
from transformers import AutoTokenizer, XLMRobertaForSequenceClassification
model_name = "DarijaM/XLM-R-BERTic-Tweet"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = XLMRobertaForSequenceClassification.from_pretrained(model_name)
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