Downloads · 30 days
0
dontburnout-emotion-onnx
AlexTesh/dontburnout-emotion-onnx
dontburnout-emotion-onnx is a text classification model from AlexTesh. Use it when you need a label for a piece of text. The card lists the license as mit.
Quantized ONNX model for 7-class emotion detection from text, optimized for on-device inference on Android.
Access
Public
Updated May 9, 2026
Repo size
82.8 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.onnx82.8 MB · 100%
At a glance
- Task
- Text Classification
- License
- mit
- Access
- Public
- Created
- May 9, 2026
- Updated
- May 9, 2026
- SHA
- 0cdf76d7
Try a prompt
Model card
From the Hugging Face model README
DontBurnOut — Emotion Classification Model
Quantized ONNX model for 7-class emotion detection from text, optimized for on-device inference on Android.
Labels
anger · disgust · fear · joy · neutral · sadness · surprise
Usage in Android (ONNX Runtime)
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.
- Task
- Text Classification
- License
- mit
- Languages
- en
- Created
- May 9, 2026
- Updated
- May 9, 2026