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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc4475dcc0779844dda2fd8e881b2476291d56f3bd0748e838d0b0970c1f03f4
- Size of remote file:
- 5.24 kB
- SHA256:
- 001fcc33059c34670d22b4bd78d327c3ccd41f2fc3b118e96b698ea556964c4a
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