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 /Decoder.mlpackage /Data /com.apple.CoreML /weights /weight.bin
Download coreml/Decoder.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 23.6 MB
-
https://huggingface.co/Microguy1/Underdog-Bark-3.0-Pro-DUPLI/resolve/main/coreml/Decoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin
- Command line
-
hf download hf://Microguy1/Underdog-Bark-3.0-Pro-DUPLI/coreml/Decoder.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/Decoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin
23.6 MB
- Xet hash:
- 828fc4fff1d5cb16ebc314c5c8c666bb630acc92af16c6036ba06642435d26be
- Size of remote file:
- 23.6 MB
- SHA256:
- b6bfa9053e8e20d1e80a7522ddba5c66e2c8c77cfc956d4ebccf749baf4d3d69
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