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| license: cc-by-sa-4.0 |
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| # **XLM-R-BERTić-Tweet** |
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| **XLM-R-BERTić-Tweet** is a version of the [XLM-R-BERTić-Tweet-Base](https://huggingface.co/DarijaM/XLM-R-BERTic-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. |
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| **XLM-R-BERTić-Tweet-Base is based on the [XLM-R-BERTić model](https://huggingface.co/classla/xlm-r-bertic), which has been additionally pretrained for the social media domain.* |
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| ## How to Use |
| To use the model, you can load it with the following code: |
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| ```python |
| from transformers import AutoTokenizer, XLMRobertaForSequenceClassification |
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| model_name = "DarijaM/XLM-R-BERTic-Tweet" |
| tokenizer = AutoTokenizer.from_pretrained(model_name) |
| model = XLMRobertaForSequenceClassification.from_pretrained(model_name) |
