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README.md

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 license: mit
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-# **XLM-R-Large-Tweet**
 
-**XLM-R-Large-Tweet** is a version of the [XLM-R-Large-Tweet-Base]( https://huggingface.co/DarijaM/XLM-R-Large-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.
-
-## How to Use
-To use the model, you can load it with the following code:
-
-```python
-from transformers import AutoTokenizer, XLMRobertaForSequenceClassification
-
-model_name = " DarijaM/XLM-R-Large-Tweet"
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-model = XLMRobertaForSequenceClassification.from_pretrained(model_name)