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