Pass your inputs to the model and return the logits:

from transformers import AutoModelForSequenceClassification
model = AutoModelForSequenceClassification.from_pretrained("stevhliu/my_awesome_model")
with torch.no_grad():
     logits = model(**inputs).logits

Get the class with the highest probability, and use the model's id2label mapping to convert it to a text label:

predicted_class_id = logits.argmax().item()
model.config.id2label[predicted_class_id]
'POSITIVE'