Update README.md

README.md

@@ -77,6 +77,25 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3
 
+### Example of USE
+
+Here's a Python snippet demonstrating how to use this model:
+
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model_name = "your_huggingface_username/french_emotion_camembert"
+tokenizer = AutoTokenizer.from_pretrained(model_answer)
+model = AutoModelForSequenceClassification.from_pretrained(model_name)
+
+text = "Je suis très heureux de votre service rapide et efficace."
+inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True, max_length=512)
+outputs = model(**inputs)
+
+# Decode and print the predicted emotion
+prediction = torch.nn.functional.softmax(outputs.logits, dim=-1)
+predicted_emotion = prediction.argmax().item()
+print("Predicted emotion:", predicted_emotion)
+
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |