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 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConwayResearch/Underdog-Bark-3.0 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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ConwayResearch/Underdog-Bark-3.0", device_map="auto") - MLX
How to use ConwayResearch/Underdog-Bark-3.0 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download ConwayResearch/Underdog-Bark-3.0 --local-dir Underdog-Bark-3.0
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download bark_frontier.png from ConwayResearch/Underdog-Bark-3.0: direct link, hf CLI and curl.
- Browser
- Download file 160 kB
-
https://huggingface.co/ConwayResearch/Underdog-Bark-3.0/resolve/main/bark_frontier.png
- Command line
-
hf download hf://ConwayResearch/Underdog-Bark-3.0/bark_frontier.png
-
curl -L -o bark_frontier.png https://huggingface.co/ConwayResearch/Underdog-Bark-3.0/resolve/main/bark_frontier.png
160 kB

- Xet hash:
- 21ff86af73cace5f05e977f9bcc0327f6d51523db38f9cc62906ea47f4af47f5
- Size of remote file:
- 160 kB
- SHA256:
- ac0d9f97d95b2af5d06ce38d4d69c038f76247aa5bf83074fdddecbb84b7a0e4
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