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
| ,precision,recall,f1-score,support | |
| bug,0.8754,0.8987,0.8869,40288 | |
| enhancement,0.8726,0.8753,0.8740,33203 | |
| question,0.6738,0.5613,0.6124,7027 | |
| accuracy,,,0.8596,80518 | |
| macro avg,0.8073,0.7784,0.7911,80518 | |
| weighted avg,0.8567,0.8596,0.8576,80518 | |