Text Classification
Transformers
Safetensors
Indonesian
bert
emotion-classification
indonesian
thesis
text-embeddings-inference
Instructions to use iamviel/emotion-base-augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamviel/emotion-base-augmented with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="iamviel/emotion-base-augmented")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("iamviel/emotion-base-augmented") model = AutoModelForSequenceClassification.from_pretrained("iamviel/emotion-base-augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Publish validated IndoBERT model for dashboard comparison
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