sumedh/wav2vec2-large-xlsr-marathi
automatic-speech-recognition model by sumedh
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Model card & documentation
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Fine-tuned facebook/wav2vec2-large-xlsr-53 on Marathi using the Open SLR64 dataset. When using this model, make sure that your speech input is sampled at 16kHz. This data contains only female voices but the model works well for male voices too. Trained on Google Colab Pro on Tesla P100 16GB GPU. WER (Word Error Rate) on the Test Set: 12.70 % The model can be…
Read the full model card ↗ · Preview checked 2026-10-31T10:08:21.368Z
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Model overview
sumedh/wav2vec2-large-xlsr-marathi is a automatic-speech-recognition model repository published by sumedh 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)
- 352,612
- Cumulative likes
- 2
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 315,508,420
- Architecture
- Wav2Vec2ForCTC
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2022-03-02T23:29:05.000Z
- Last modified
- 2025-02-22T04:02:50.000Z
Compatibility and lineage
Reported languages: mr
Reported base models: facebook/wav2vec2-large-xlsr-53
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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