val classifier = TextEmotionClassifier.create(context)
val results = classifier.classify("I am so stressed about these deadlines.")
results.forEach { (emotion, score) ->
    println("$emotion: ${"%.2f".format(score * 100)}%")
}
classifier.close()

Files

File	Description
`model_quantized.onnx`	INT8 quantized ONNX model
`tokenizer.json`	Tokenizer vocabulary and rules
`tokenizer_config.json`	Tokenizer configuration
`config.json`	Model architecture config
`special_tokens_map.json`	Special tokens
`merges.txt`	BPE merge rules

Integration

This model is used in the DontBurnOut Android app.
Download is handled automatically at first launch via ModelDownloader.kt.

AlexTesh/dontburnout-emotion-onnx

DontBurnOut — Emotion Classification Model

Labels

Usage in Android (ONNX Runtime)

Files

Integration

AlexTesh/
dontburnout-emotion-onnx