Instructions to use thoriqfy/indobert-emotion-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thoriqfy/indobert-emotion-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thoriqfy/indobert-emotion-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thoriqfy/indobert-emotion-classification") model = AutoModelForSequenceClassification.from_pretrained("thoriqfy/indobert-emotion-classification") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c95529c7e6111c3ca7190a28e0a5267d08134c070352d49ad590c2340971e08
- Size of remote file:
- 1.34 GB
- SHA256:
- 2faafa82ee3e911945b6b5d8d3080a4a2298e06fbb7312bd98d86a00ca2ccf1c
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