openai/whisper-large-v3
automatic-speech-recognition model by openai
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Model card & documentation
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Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al. from OpenAI. Trained on >5M hours of labeled data, Whisper demonstrates a strong ability to generalise to many datasets and domains in a zero-shot setting. Whisper large-v3 has the same architecture as the previous large and large-v2 models, except for the following minor differences: The Whisper large-v3 model was trained on 1 million hours of weakly labeled audio and 4 million hours of pseudo-labeled audio collected using Whisper large-v2 . The model was trained for 2.0 epochs over this mixture dataset. The large-v3 model shows improved performance over a wide variety of languages, showing 10% to 20% reduction of errors compared to Whisper large-v2 . For more details on the different checkpoints available, refer to the section Model details. Disclaimer: Content…
Read the full model card ↗ · Preview checked 2026-10-28T22:37:45.073Z
Inside the original model card — Document outline
- Whisper
- Usage
- Additional Speed & Memory Improvements
- Chunked Long-Form
- Torch compile
- Flash Attention 2
- Torch Scale-Product-Attention (SDPA)
- Model details
- Fine-Tuning
- Evaluated Use
- Training Data
- Performance and Limitations
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
openai/whisper-large-v3 is a automatic-speech-recognition model repository published by openai 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)
- 3,582,870
- Cumulative likes
- 6,721
- Hugging Face trending score
- 21
- Reported safetensors parameters
- 1,543,490,560
- Architecture
- WhisperForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2023-11-07T18:41:14.000Z
- Last modified
- 2024-08-12T10:20:10.000Z
Compatibility and lineage
Reported languages: en, zh, de, es, ru, ko, fr, ja, pt, tr, pl, ca, nl, ar, sv, it, id, hi, fi, vi, he, uk, el, ms, cs, ro, da, hu, ta, no, th, ur, hr, bg, lt, la, mi, ml, cy, sk
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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