Instructions to use JahnaviKumar/FGL_DevEmotionAnalysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JahnaviKumar/FGL_DevEmotionAnalysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JahnaviKumar/FGL_DevEmotionAnalysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JahnaviKumar/FGL_DevEmotionAnalysis") model = AutoModelForSequenceClassification.from_pretrained("JahnaviKumar/FGL_DevEmotionAnalysis") - Notebooks
- Google Colab
- Kaggle
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The model, trained on comments from fast-growing programming languages on GitHub, has been accepted at ICPC'24. Details on the dataset, methodology, and results are available at https://doi.org/10.1145/3643916.3644422.
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