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visualears-fastconformer-fa-full-ab-litert-fp
Reza2kn/visualears-fastconformer-fa-full-ab-litert-fp
visualears-fastconformer-fa-full-ab-litert-fp is a automatic speech recognition model from Reza2kn. Use it when you need speech turned into text. It is set up for tflite. The card lists the license as apache-2.0.
Reference LiteRT/TFLite fixed-length acoustic CTC-core export of Reza2kn/visualears-fastconformer-fa-full-ab.
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Repo size
437 MB
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.tflite437 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- tflite
- License
- apache-2.0
- Access
- Public
- Created
- Jun 11, 2026
- Updated
- Jun 11, 2026
- SHA
- 53e00c3b
Base models
Model card
From the Hugging Face model README
VisualEars FastConformer Persian ASR LiteRT FP
Reference LiteRT/TFLite fixed-length acoustic CTC-core export of Reza2kn/visualears-fastconformer-fa-full-ab.
Artifact
- Format: LiteRT/TFLite FP fixed-length acoustic CTC-core export
- Quantization/conversion: FP LiteRT/TFLite conversion reference; no 4-bit quantization
- Runtime validation: LiteRT/TFLite XNNPACK CPU
- Size: 437 MB
.tflite
Validation
Two different parity checks are available:
| Check | Result |
|---|---|
| Frame-level CTC argmax parity vs PyTorch | 100.00% |
| Greedy CTC transcript parity vs PyTorch on the same 16 calibration items | 100.00% / 16 of 16 |
Transcript parity is computed after greedy CTC collapse with the model tokenizer. This is still a fixed-core feature-to-logits check, not a full raw-audio pipeline evaluation.
Usage Boundary
This export takes precomputed log-mel features as processed_signal; it is not a full raw-audio-to-text pipeline by itself.
Notes
The LiteRT export required folding fixed positional slice constants and removing all-valid pre-encoder mask multiplies.
- Task
- Automatic Speech Recognition
- Library
- tflite
- License
- apache-2.0
- Languages
- fa
- Created
- Jun 11, 2026
- Updated
- Jun 11, 2026