Automatic Speech Recognition
Transformers
MLX
English
speech-to-text
asr
stt
dictation
disfluency-removal
low-bit
on-device
apple-silicon
parakeet
underdog
Instructions to use ConwayResearch/Underdog-Bark-3.0-Clean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConwayResearch/Underdog-Bark-3.0-Clean with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ConwayResearch/Underdog-Bark-3.0-Clean")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ConwayResearch/Underdog-Bark-3.0-Clean", device_map="auto") - MLX
How to use ConwayResearch/Underdog-Bark-3.0-Clean with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download ConwayResearch/Underdog-Bark-3.0-Clean --local-dir Underdog-Bark-3.0-Clean
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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