imvladikon/wav2vec2-xls-r-300m-hebrew
automatic-speech-recognition model by imvladikon
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Model card & documentation
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This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the private datasets in 2 stages - firstly was fine-tuned on a small dataset with good samples Then the obtained model was fine-tuned on a large dataset with the small good dataset, with various samples from different sources, and with an unlabeled dataset that was weakly labeled using a previously trained model. Small dataset: Large dataset: (weakly labeled data wasn't used…
Read the full model card ↗ · Preview checked 2026-10-30T05:48:31.413Z
Inside the original model card — Document outline
- wav2vec2-xls-r-300m-hebrew
- Model description
- Intended uses & limitations
- Training and evaluation data
- Training procedure
- Training hyperparameters
- First training
- Second training
- Training results
- Framework versions
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Model overview
imvladikon/wav2vec2-xls-r-300m-hebrew is a automatic-speech-recognition model repository published by imvladikon 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)
- 1,127,696
- Cumulative likes
- 11
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 315,471,520
- Architecture
- Wav2Vec2ForCTC
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2022-03-02T23:29:05.000Z
- Last modified
- 2023-09-13T15:54:14.000Z
Compatibility and lineage
Reported languages: he
Reported base models: facebook/wav2vec2-xls-r-300m
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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