Text Classification
Transformers
PyTorch
TensorFlow
Safetensors
Indonesian
roberta
text-embeddings-inference
Instructions to use StevenLimcorn/indonesian-roberta-base-emotion-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StevenLimcorn/indonesian-roberta-base-emotion-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="StevenLimcorn/indonesian-roberta-base-emotion-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("StevenLimcorn/indonesian-roberta-base-emotion-classifier") model = AutoModelForSequenceClassification.from_pretrained("StevenLimcorn/indonesian-roberta-base-emotion-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 267b9fa076bea647786cc6eda18e527ab22335f7f4c2716932c9165951fc7dbf
- Size of remote file:
- 499 MB
- SHA256:
- b0d0d81520d871bccc552acbdfcf56003b77869d3574e31c9de179dcb90e8cb4
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