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
Commit History
12 days ago
-
Underdog Bark 3.0
Verified signatureFiles from ConwayResearch/bark-3.0@f0a0cb9cad0e33c8d2656d922a29de43fec7c655 (unchanged weights and runtimes), with the Underdog model card and NOTICE.85db2ad