This model is fine tuned using pre-trained model sarahlintang/IndoBERT

Output Explanation:
LABEL_0 = NETRAL
LABEL_1 = POSITIF
LABEL_2 = NEGATIF
{"language": ["id"], "library_name": "transformers"}
transformers safetensors bert text-classification id autotrain_compatible endpoints_compatible region:us