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
Underdog-Bark-3.0-Pro-DUPLI / coreml /Encoder.mlpackage /Data /com.apple.CoreML /weights /weight.bin
Download coreml/Encoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin from Microguy1/Underdog-Bark-3.0-Pro-DUPLI: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/Microguy1/Underdog-Bark-3.0-Pro-DUPLI/resolve/main/coreml/Encoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin
- Command line
-
hf download hf://Microguy1/Underdog-Bark-3.0-Pro-DUPLI/coreml/Encoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin
-
curl -L -o weight.bin https://huggingface.co/Microguy1/Underdog-Bark-3.0-Pro-DUPLI/resolve/main/coreml/Encoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin
1.2 GB
- Xet hash:
- 55d2239c30639209eea73e3bd077ed04ecf387a7762a06e17b4ad4b57efdea49
- Size of remote file:
- 1.2 GB
- SHA256:
- 619757bd47bc5cc131a85e54e94ffacc1b8c1bce737c1f1f6569eda8621a30d6
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