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license: cc-by-sa-4.0 |
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--- |
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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. |
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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 |
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To use the model, you can load it with the following code: |
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```python |
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from transformers import AutoTokenizer, XLMRobertaForSequenceClassification |
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model_name = "DarijaM/XLM-R-BERTic-Tweet" |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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model = XLMRobertaForSequenceClassification.from_pretrained(model_name) |
