---
license: mit
language:
  - en
base_model: SamLowe/roberta-base-go_emotions-onnx
base_model_relation: quantized
pipeline_tag: text-classification
library_name: onnxruntime
tags:
  - onnx
  - emotion
  - text-classification
  - speedbrain
  - persona-forge
---

# speedbrain emotion classifier · English (ONNX)

CPU-ready ONNX export (dynamic int8 quantization) of [`SamLowe/roberta-base-go_emotions-onnx`](https://huggingface.co/SamLowe/roberta-base-go_emotions-onnx), used by the **speedbrain injection-engine / Persona Forge** to detect the user's emotion per chat turn and shift the character's Emotion Area (resonance). Label set: `goemotions`, folded into the canonical 7-emotion space (anger, disgust, fear, joy, neutral, sadness, surprise).

## Usage (injection-engine)
```
python -m injection_pro_persona.fetch en
```
The engine loads `model_quantized.onnx` / `model.onnx` + `tokenizer.json` with onnxruntime (CPUExecutionProvider).

## Credits & license
All model weights originate from `SamLowe/roberta-base-go_emotions-onnx`; this repo only contains a format conversion (ONNX export, int8 quantization). The license of the base model applies unchanged and is included in this repo (see LICENSE). For RAIL-type licenses the use-case restrictions of Attachment A bind every downstream user of this model as well.

## Citation
If you use this model, please cite the original authors:

See the citation section of https://huggingface.co/SamLowe/roberta-base-go_emotions-onnx

Conversion / packaging:
```bibtex
@misc{speedbrain_persona_forge,
  title  = {speedbrain injection-engine: Persona Forge emotion models (ONNX)},
  author = {speed-brain-ai},
  year   = {2026},
  url    = {https://huggingface.co/speed-brain-ai/speedbrain-emotion-en-onnx}
}
```