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/Encoder.mlpackage/Data/com.apple.CoreML/model.mlmodel from Microguy1/Underdog-Bark-3.0-Pro-DUPLI: direct link, hf CLI and curl.
- Browser
- Download file 1.21 MB
-
https://huggingface.co/Microguy1/Underdog-Bark-3.0-Pro-DUPLI/resolve/main/coreml/Encoder.mlpackage/Data/com.apple.CoreML/model.mlmodel
- Command line
-
hf download hf://Microguy1/Underdog-Bark-3.0-Pro-DUPLI/coreml/Encoder.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/Encoder.mlpackage/Data/com.apple.CoreML/model.mlmodel
1.21 MB
- Xet hash:
- 3f9aa8398c3da834c016c98b2a516231eb9e5986cf882315008b0cde3611cdb4
- Size of remote file:
- 1.21 MB
- SHA256:
- d82718558f523dc13f9c0ede57d6f8e37d953950808a5aaa3a4633a7f752dd77
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.