Text Classification
Transformers
Safetensors
Indonesian
bert
sentiment-analysis
emotion-classification
indonesian
indobertweet
text-embeddings-inference
Instructions to use galennolan/indobertweet-indoemotion-5class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use galennolan/indobertweet-indoemotion-5class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="galennolan/indobertweet-indoemotion-5class")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("galennolan/indobertweet-indoemotion-5class") model = AutoModelForSequenceClassification.from_pretrained("galennolan/indobertweet-indoemotion-5class") - Notebooks
- Google Colab
- Kaggle
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README.md
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language:
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base_model:
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license: apache-2.0
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language:
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library_name: transformers
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tags:
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- text-classification
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- sentiment-analysis
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- emotion-classification
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- indonesian
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- indobertweet
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datasets:
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- PRDECT-ID
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metrics:
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- accuracy
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- f1
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- precision
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- recall
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base_model:
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