| # Math-RoBerta for NLP tasks in math learning environments | |
| 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. | |
| ### Here is how to use it with texts in HuggingFace | |
| ```python | |
| from transformers import RobertaTokenizer, RobertaModel | |
| tokenizer = RobertaTokenizer.from_pretrained('uf-aice-lab/math-roberta') | |
| model = RobertaModel.from_pretrained('uf-aice-lab/math-roberta') | |
| text = "Replace me by any text you'd like." | |
| encoded_input = tokenizer(text, return_tensors='pt') | |
| output = model(**encoded_input) | |
| ``` |