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
| language: id | |
| license: mit | |
| pipeline_tag: text-classification | |
| library_name: transformers | |
| tags: | |
| - bert | |
| - emotion | |
| - indonesian | |
| base_model: | |
| - indobenchmark/indobert-base-p2 | |