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visualears-fastconformer-fa-full-ab-onnx-fp
Reza2kn/visualears-fastconformer-fa-full-ab-onnx-fp
visualears-fastconformer-fa-full-ab-onnx-fp is a automatic speech recognition model from Reza2kn. Use it when you need speech turned into text. It is set up for onnx. The card lists the license as apache-2.0.
Derivative export of Reza2kn/visualears-fastconformer-fa-full-ab.
Access
Public
Updated Jun 12, 2026
Repo size
461 MB
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0
Public
Repo makeup
Click a slice to open those files.
.data458 MB · 99%
At a glance
- Task
- Automatic Speech Recognition
- Library
- onnx
- License
- apache-2.0
- Access
- Public
- Created
- Jun 11, 2026
- Updated
- Jun 12, 2026
- SHA
- 36b9939f
Base models
Model card
From the Hugging Face model README
VisualEars FastConformer Persian ASR ONNX FP Export
Derivative export of Reza2kn/visualears-fastconformer-fa-full-ab.
Artifact
- Format: ONNX FP fixed-length acoustic CTC-core export
- Quantization/conversion: FP export reference; no weight quantization
- Runtime validation: ONNX Runtime CPU
- Validation result: 100.00% CTC argmax parity
- Size: 461 MB ONNX external-data pair
Validation
Runtime parity was checked against PyTorch CTC logits on 16 calibration clips padded to 2005 mel frames. The metric is CTC argmax token agreement versus the PyTorch reference logits, not end-to-end WER.
Usage Boundary
These are fixed-frame acoustic CTC-core exports. They take precomputed log-mel features as processed_signal; they are not full raw-audio-to-text pipelines by themselves.
Notes
Reference fixed-core ONNX export. Input is precomputed log-mel processed_signal, not raw audio.
- Task
- Automatic Speech Recognition
- Library
- onnx
- License
- apache-2.0
- Languages
- fa
- Created
- Jun 11, 2026
- Updated
- Jun 12, 2026