Update README.md

README.md

@@ -12,6 +12,7 @@ metrics:
 model-index:
 - name: turkish-zeroshot-distilbert
   results: []
+pipeline_tag: zero-shot-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -27,6 +28,30 @@ It achieves the following results on the evaluation set:
 - Precision: 0.7290
 - Recall: 0.7201
 
+## Usage
+
+```python
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("zero-shot-classification", model="kaixkhazaki/turkish-zeroshot")
+
+#Enter your text and possible candidates of classification
+sequence = "Bu laptopun pil ömrü ne kadar dayanıyor?"
+candidate_labels = ["ürün özellikleri", "soru", "bilgi talebi", "laptop", "teknik destek"]
+
+pipe(
+    sequence,
+    candidate_labels,
+)
+
+>>
+{'sequence': 'Bu laptopun pil ömrü ne kadar dayanıyor?',
+'labels': ['ürün özellikleri', 'laptop', 'soru', 'teknik destek', 'bilgi talebi'],
+'scores': [0.4050311744213104, 0.1970272809267044, 0.1365433931350708, 0.13210774958133698, 0.1292904019355774]}
+
+```
+
 ## Model description
 
 More information needed
@@ -185,4 +210,4 @@ The following hyperparameters were used during training:
 - Transformers 4.48.0.dev0
 - Pytorch 2.4.1+cu121
 - Datasets 3.1.0
-- Tokenizers 0.21.0
+- Tokenizers 0.21.0