Text Classification
Transformers
PyTorch
Safetensors
Indonesian
bert
emotion
indonesian
text-embeddings-inference
Instructions to use cassador/emotion-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cassador/emotion-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cassador/emotion-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cassador/emotion-classifier") model = AutoModelForSequenceClassification.from_pretrained("cassador/emotion-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be11e925cad47f2e8c789dd43f698341756182193c8ee89958748be77dd9e65b
- Size of remote file:
- 498 MB
- SHA256:
- aff43d4ad7aec247bbd462b70d08713295488b0cc46e6e096babeee24e8b512a
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