Instructions to use Arklyn/BERT-SA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arklyn/BERT-SA with Transformers:
# 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") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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This model is fine tuned using pre-trained model sarahlintang/IndoBERT
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Output Explanation:
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LABEL_0 =
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LABEL_1 = POSITIF
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LABEL_2 =
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This model is fine tuned using pre-trained model sarahlintang/IndoBERT
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Output Explanation:
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LABEL_0 = NETRAL
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LABEL_1 = POSITIF
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LABEL_2 = NEGATIF
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