Instructions to use Cloudy1225/stackoverflow-roberta-base-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cloudy1225/stackoverflow-roberta-base-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cloudy1225/stackoverflow-roberta-base-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cloudy1225/stackoverflow-roberta-base-sentiment") model = AutoModelForSequenceClassification.from_pretrained("Cloudy1225/stackoverflow-roberta-base-sentiment") - Notebooks
- Google Colab
- Kaggle
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## Acknowledgments
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This project was developed as part of the **Software Engineering and
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@inproceedings{sun2022incorporating,
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## Acknowledgments
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This project was developed as part of the **Software Engineering and Computing III** course at Software Institute, Nanjing University in Spring 2023. For more insights into sentiment analysis on software engineering texts, you can refer to the following paper:
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@inproceedings{sun2022incorporating,
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