wav2vec2-large-xlsr-53-japanese
Transcriptionautomatic speech recognition model by jonatasgrosman on Hugging Face (transformers). 15,587,437 downloads in the last 30 days as of 2026-10-15.
Free
QUAN-Transcribe-1.0
automatic speech recognition model by qnguyen3 on Hugging Face. 847 downloads in the last 30 days as of 2026-10-15.
What is QUAN-Transcribe-1.0?
QUAN-Transcribe-1.0 is an open AI model published on Hugging Face by qnguyen3 for speech recognition (speech-to-text). Hugging Face reported 847 downloads in the 30 days to 2026-10-15. Weights are free to download from Hugging Face; licence terms are set by the publisher on the model card.
| Publisher | qnguyen3 |
|---|---|
| Task | speech recognition (speech-to-text) |
| Downloads (30 days) | 847 (as of 2026-10-15) |
| Price | Free to download (open weights) |
QUAN-Transcribe-1.0 pricing
Listed as Free. Detailed prices haven't been checked from the official site yet; see QUAN-Transcribe-1.0.
How to run QUAN-Transcribe-1.0
- Open the model card on Hugging Face for usage notes, the base model and the licence.
- Load it with the library named on the model card (for Transformers: `pipeline("automatic-speech-recognition", model="qnguyen3/QUAN-Transcribe-1.0")`).
- Test it on a small sample of your own data before using it in production.
Models related to QUAN-Transcribe-1.0
whisperkit-coreml
Transcriptionautomatic speech recognition model by argmaxinc on Hugging Face (whisperkit). 11,887,526 downloads in the last 30 days as of 2026-10-15.
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speaker-diarization-3.1
Transcriptionautomatic speech recognition model by pyannote on Hugging Face (pyannote-audio). 6,931,453 downloads in the last 30 days as of 2026-10-15.
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whisper-large-v3-turbo
Transcriptionautomatic speech recognition model by openai on Hugging Face (transformers). 6,339,293 downloads in the last 30 days as of 2026-10-15.
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speaker-diarization-community-1
Transcriptionautomatic speech recognition model by pyannote on Hugging Face (pyannote-audio). 5,457,659 downloads in the last 30 days as of 2026-10-15.
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wav2vec2-large-xlsr-53-portuguese
Transcriptionautomatic speech recognition model by jonatasgrosman on Hugging Face (transformers). 4,821,993 downloads in the last 30 days as of 2026-10-15.
Free
QUAN-Transcribe-1.0 FAQ
What is QUAN-Transcribe-1.0?
QUAN-Transcribe-1.0 is an open AI model published on Hugging Face by qnguyen3 for speech recognition (speech-to-text).
Is QUAN-Transcribe-1.0 free?
QUAN-Transcribe-1.0 is listed as free.
How do I use QUAN-Transcribe-1.0?
1. Open the model card on Hugging Face for usage notes, the base model and the licence. 2. Load it with the library named on the model card (for Transformers: `pipeline("automatic-speech-recognition", model="qnguyen3/QUAN-Transcribe-1.0")`). 3. Test it on a small sample of your own data before using it in production.
What models are similar to QUAN-Transcribe-1.0?
Related models include wav2vec2-large-xlsr-53-japanese, whisperkit-coreml, speaker-diarization-3.1, whisper-large-v3-turbo, speaker-diarization-community-1.
This page is generated from public listing data (source listing, tags, counts and our own link check); check the official page for features, licence and current pricing. Want to master tools like this? See the 100+ AI Tools Course.