Instructions to use ketut/IndoBERTkbli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ketut/IndoBERTkbli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ketut/IndoBERTkbli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ketut/IndoBERTkbli") model = AutoModelForSequenceClassification.from_pretrained("ketut/IndoBERTkbli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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le = joblib.load("label_encoder_base_p2_augmented.pkl")
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license: apache-2.0
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import joblib
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le = joblib.load("label_encoder_base_p2_augmented.pkl")
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