Upload Vietnamese sentiment analysis model

README.md

@@ -43,12 +43,12 @@ model = AutoModelForSequenceClassification.from_pretrained("Khoa/vietnamese-sent
 def predict_sentiment(text, entity, model, tokenizer):
     combined_text = f"Đối với {entity}, {text}"
     inputs = tokenizer(combined_text, return_tensors="pt", truncation=True, padding=True)
-    
+
     with torch.no_grad():
         outputs = model(**inputs)
         predictions = torch.nn.functional.softmax(outputs.logits, dim=-1)
         predicted_class = torch.argmax(predictions, dim=-1).item()
-    
+
     sentiment_labels = {0: "NEGATIVE", 1: "NEUTRAL", 2: "POSITIVE"}
     return sentiment_labels[predicted_class], predictions[0].tolist()
 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:abbe45d0304b45cfc244c963ad7cc5850f2003dcbf7f31f4287284964c29fa45
+oid sha256:edddbbc9016343493781924f0fd036e32e3e3c152f75b5308a1888a066089762
 size 540026460