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 model.bark from ConwayResearch/Underdog-Bark-3.0: direct link, hf CLI and curl.
- Browser
- Download file 163 MB
-
https://huggingface.co/ConwayResearch/Underdog-Bark-3.0/resolve/main/model.bark
- Command line
-
hf download hf://ConwayResearch/Underdog-Bark-3.0/model.bark
-
curl -L -o model.bark https://huggingface.co/ConwayResearch/Underdog-Bark-3.0/resolve/main/model.bark
163 MB
- Xet hash:
- 5dc88aef2ccdd671f85851c605a7f8b7bf177045e329e5f5fd2b692fad018478
- Size of remote file:
- 163 MB
- SHA256:
- c18de9418d73cbeb80b8c1287b392d480a56e191ef4a81d1baaa1b02e66d92ed
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