Create README.md

README.md

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+# bert-large-depression-classification-model
+To access this model, just copy & paste the following code:
+```python
+from transformers import pipeline
+
+classifier = pipeline('text-classification', model='ardavey/bert-large-depression-classification-model')
+```
+
+**Example usage**:
+```python
+from transformers import pipeline
+
+classifier = pipeline('text-classification', model='ardavey/bert-large-depression-classification-model')
+
+text_samples = [
+    "The things I used to love don’t bring me any joy anymore. Everything feels empty",
+    "I often wonder if things would be better if I just disappeared.",
+    "Sometimes things get tough, but I know I have the strength to get through it."
+]
+
+predictions = classifier(text_samples)
+
+for sample, prediction in zip(text_samples, predictions):
+    print(f"Text: {sample}")
+    print(f"Prediction: {'Depressed' if prediction['label'] == 'LABEL_1' else 'Not Depressed'}, Score: {prediction['score']}")
+    print()
+```
+
+**Output**:
+```
+Text: The things I used to love don’t bring me any joy anymore. Everything feels empty
+Prediction: Depressed, Score: 0.9950354099273682
+
+Text: I often wonder if things would be better if I just disappeared.
+Prediction: Depressed, Score: 0.970693051815033
+
+Text: Sometimes things get tough, but I know I have the strength to get through it.
+Prediction: Not Depressed, Score: 0.9896683692932129
+```