Text Classification
Transformers
PyTorch
Safetensors
bert
indobert
sentiment-analysis
social-media
indonesian
django
fine-tuned
academic-evaluation
Eval Results (legacy)
Instructions to use ShinyQ/indobert-sentiment-analysis-indonesian-university-reviews with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShinyQ/indobert-sentiment-analysis-indonesian-university-reviews with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ShinyQ/indobert-sentiment-analysis-indonesian-university-reviews")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ShinyQ/indobert-sentiment-analysis-indonesian-university-reviews") model = AutoModelForSequenceClassification.from_pretrained("ShinyQ/indobert-sentiment-analysis-indonesian-university-reviews", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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