Automatic Speech Recognition
Transformers
Core ML
Safetensors
English
parakeet_tdt
feature-extraction
underdog
speech-to-text
asr
stt
parakeet
tdt
Instructions to use Microguy1/Underdog-Bark-3.0-Pro-DUPLI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Microguy1/Underdog-Bark-3.0-Pro-DUPLI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Microguy1/Underdog-Bark-3.0-Pro-DUPLI")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Microguy1/Underdog-Bark-3.0-Pro-DUPLI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download coreml/Decoder.mlpackage/Data/com.apple.CoreML/model.mlmodel from Microguy1/Underdog-Bark-3.0-Pro-DUPLI: direct link, hf CLI and curl.
- Browser
- Download file 11.6 kB
-
https://huggingface.co/Microguy1/Underdog-Bark-3.0-Pro-DUPLI/resolve/main/coreml/Decoder.mlpackage/Data/com.apple.CoreML/model.mlmodel
- Command line
-
hf download hf://Microguy1/Underdog-Bark-3.0-Pro-DUPLI/coreml/Decoder.mlpackage/Data/com.apple.CoreML/model.mlmodel
-
curl -L -o model.mlmodel https://huggingface.co/Microguy1/Underdog-Bark-3.0-Pro-DUPLI/resolve/main/coreml/Decoder.mlpackage/Data/com.apple.CoreML/model.mlmodel
11.6 kB
- Xet hash:
- 96da48aae298e2d929ea626158567eebcb864c517bccdcd3c65656c732b433b3
- Size of remote file:
- 11.6 kB
- SHA256:
- 00cd3bdf438e859eff16d1376cab86f6214d0e44b1876316e30550e35d012763
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