Automatic Speech Recognition
Transformers
Core ML
Safetensors
English
parakeet_tdt
feature-extraction
underdog
speech-to-text
asr
stt
parakeet
tdt
Instructions to use ConwayResearch/Underdog-Bark-3.0-Pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConwayResearch/Underdog-Bark-3.0-Pro 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-Pro")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ConwayResearch/Underdog-Bark-3.0-Pro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download bark_frontier.png from ConwayResearch/Underdog-Bark-3.0-Pro: direct link, hf CLI and curl.
- Browser
- Download file 160 kB
-
https://huggingface.co/ConwayResearch/Underdog-Bark-3.0-Pro/resolve/main/bark_frontier.png
- Command line
-
hf download hf://ConwayResearch/Underdog-Bark-3.0-Pro/bark_frontier.png
-
curl -L -o bark_frontier.png https://huggingface.co/ConwayResearch/Underdog-Bark-3.0-Pro/resolve/main/bark_frontier.png
160 kB

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