Automatic Speech Recognition
Transformers
Safetensors
English
whisper
textpro-slm
prosody
speech
audio
original-checkpoint
Instructions to use qqjz/WhisperPro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qqjz/WhisperPro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="qqjz/WhisperPro")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, WhisperSpeechCodecEncoder processor = AutoProcessor.from_pretrained("qqjz/WhisperPro") model = WhisperSpeechCodecEncoder.from_pretrained("qqjz/WhisperPro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Release verified original checkpoint artifacts
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