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AI 模型 535
- Whisper-Small-En↗
qualcomm
- whisper-medium.en↗
OpenAI
Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains **without** the need for fine-tuning. Whisper was proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al. from OpenAI. The original code repository can be found here. **Disclaimer**: Content for this model card has partly been written by the Hugging Face team, and parts of it were copied and pasted from the original model card.
- whisper-large-v3-turbo_timestamped↗
onnx-community
https://huggingface.co/openai/whisper-large-v3-turbo with ONNX weights to be compatible with Transformers.js. 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-v2↗
OpenAI
Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains **without** the need for fine-tuning. Whisper was proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al. from OpenAI. The original code repository can be found here. Compared to the Whisper large model, the large-v2 model is trained for 2.5x more epochs with added regularization for improved performance.
- whisper-hinglish-preview↗
Trelis
- whisper-hu-large-v3-turbo-finetuned↗
sarpba
- Belle-whisper-large-v3-zh-punct↗
BELLE-2
- kotoba-whisper-v2.1↗
kotoba-tech
- whisper-small.en↗
OpenAI
Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains **without** the need for fine-tuning. Whisper was proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al. from OpenAI. The original code repository can be found here. **Disclaimer**: Content for this model card has partly been written by the Hugging Face team, and parts of it were copied and pasted from the original model card.
- whisper-large-v2-mn-13↗
bayartsogt