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
File size: 241 Bytes
3f1443e | 1 2 3 4 5 6 7 8 | ,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
|