Update README.md

README.md

@@ -20,6 +20,22 @@ tags: []
 ## Base Model
 DistilBERT base model (uncased), a distilled version of BERT optimized for efficiency while maintaining performance.
 
+## Usage
+```python
+from transformers import pipeline
+
+model_id = "VitalContribution/JokeDetectBERT"
+pipe = pipeline('text-classification', model=model_id)
+
+joke_questionmark = "What do elves learn in school? The elf-abet."
+
+out = pipe(joke_questionmark)[0]
+label = out['label']
+confidence = out['score']
+result = "JOKE" if label == 'LABEL_1' else "NO JOKE"
+print(f"Prediction: {result} ({confidence:.2f})")
+```
+
 ## Training Details
 | Parameter | Value |
 |:----------|:------|
@@ -36,6 +52,3 @@ DistilBERT base model (uncased), a distilled version of BERT optimized for effic
 ### Model Evaluation
 <img src="https://cdn-uploads.huggingface.co/production/uploads/63ae02ff20176b2d21669dd6/lEXXQguN-8-VVrFnlmW5o.png" width="600" alt="Model Evaluation Image 1">
 <img src="https://cdn-uploads.huggingface.co/production/uploads/63ae02ff20176b2d21669dd6/A99ZeYAr1jb32YF_yBin8.png" width="600" alt="Model Evaluation Image 2">
-
-## 
-TODO: add how to use it