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AI Models 535
- whisper-large-v3-ca-punctuated-3370h↗
BSC-LT
- whisper-base↗
Xenova
https://huggingface.co/openai/whisper-base with ONNX weights to be compatible with Transformers.js. If you haven't already, you can install the Transformers.js JavaScript library from NPM using: Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).
- whisper-large-v3-turbo-gguf↗
handy-computer
GGUF conversions of openai/whisper-large-v3-turbo for use with transcribe.cpp. Ported from upstream commit 41f01f3, pinned 2026-04-25. Validated against the transformers reference at transcribe.cpp commit 0a26478 on 2026-09-13. OpenAI Whisper large-v3-turbo — converted to GGUF for transcribe.cpp. Multilingual transcription and language detection; unlike the full large-v3 model, this turbo variant does not support speech translation. The v3 family adds Cantonese (yue) and uses a 128-bin mel input. Encoder-decoder transformer; 30-second windows with chunked long-form decoding.
- faster_CrisperWhisper↗
nyralabs
- whisper-large-v3-turbo-greek-greece↗
sam8000
- whisper-th-large-v3-combined↗
biodatlab
This model is a fine-tuned version of openai/whisper-medium on augmented versions of the mozilla-foundation/common_voice_13_0 th, google/fleurs, and curated datasets. It achieves the following results on the common-voice-13 test set: - WER: 6.59 (with Deepcut Tokenizer) The following hyperparameters were used during training: - learning_rate: 1e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: AdamW with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - training_steps: 10000 - mixed_precision_training: Native AMP
- whisper-large-v3-mlx-4bit↗
mlx-community
- whisper-large-v3-turbo-swiss-german↗
Flurin17
- whisper-large-v3-swiss-german-mit↗
gcoli
- whisper-large-v3-ru-podlodka↗
bond005
