uf-aice-lab
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# Math-RoBerta for NLP tasks in math learning environments
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This model is fine-tuned with RoBERTa-large with over 3,000,000 posts and replies from students and instructors in Algebra Nation (https://www.mathnation.com/). It can potentially provide a good base performance on NLP related tasks in similar math learning environments.
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### Here is how to use it with texts in HuggingFace
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```python
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from transformers import RobertaTokenizer, RobertaModel
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tokenizer = RobertaTokenizer.from_pretrained('uf-aice-lab/math-roberta')
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model = RobertaModel.from_pretrained('uf-aice-lab/math-roberta')
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text = "Replace me by any text you'd like."
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encoded_input = tokenizer(text, return_tensors='pt')
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output = model(**encoded_input)
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```
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