How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="Arklyn/BERT-SA")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("Arklyn/BERT-SA")
model = AutoModelForSequenceClassification.from_pretrained("Arklyn/BERT-SA")
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This model is fine tuned using pre-trained model sarahlintang/IndoBERT

Output Explanation: LABEL_0 = NETRAL LABEL_1 = POSITIF LABEL_2 = NEGATIF

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Safetensors
Model size
0.1B params
Tensor type
F32
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