nguyenvulebinh/wav2vec2-base-vi-vlsp2020
automatic-speech-recognition model by nguyenvulebinh
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Model card & documentation
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Our models use wav2vec2 architecture, pre-trained on 13k hours of Vietnamese youtube audio (un-label data) and fine-tuned on 250 hours labeled of VLSP ASR dataset on 16kHz sampled speech audio. You can find more description here [](https://colab.research.google.com/drive/1z3FQUQ2t7nIPR-dBR4bkcee6oCDGmcd4?usp=sharing) The ASR model parameters are…
Read the full model card ↗ · Preview checked 2026-10-30T03:44:34.654Z
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Model overview
nguyenvulebinh/wav2vec2-base-vi-vlsp2020 is a automatic-speech-recognition model repository published by nguyenvulebinh on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- automatic-speech-recognition
- Library
- transformers
- Recent downloads (30 days)
- 1,222,352
- Cumulative likes
- 14
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Wav2Vec2ForCTC
- License
- cc-by-nc-4.0
- Access
- Not gated by Hugging Face
- Created
- 2022-11-04T21:36:05.000Z
- Last modified
- 2023-02-21T08:56:58.000Z
Compatibility and lineage
Reported languages: vi
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:32.899Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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