Instructions to use PeppoCola/IssueReportClassifier-NLBSE22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PeppoCola/IssueReportClassifier-NLBSE22 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PeppoCola/IssueReportClassifier-NLBSE22")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PeppoCola/IssueReportClassifier-NLBSE22") model = AutoModelForSequenceClassification.from_pretrained("PeppoCola/IssueReportClassifier-NLBSE22") - Notebooks
- Google Colab
- Kaggle
correct report
Browse files- cr_report.csv +7 -7
cr_report.csv
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,precision,recall,f1-score,support
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bug,0.8754,0.8987,0.8869,40288
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enhancement,0.8726,0.8753,0.8740,33203
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question,0.6738,0.5613,0.6124,7027
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accuracy,,,0.8596,80518
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macro avg,0.8073,0.7784,0.7911,80518
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weighted avg,0.8567,0.8596,0.8576,80518
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