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
File size: 392 Bytes
e9f4fb0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"blank_token": "<blank>",
"feature_extractor": {
"feature_extractor_type": "ParakeetFeatureExtractor",
"feature_size": 128,
"hop_length": 160,
"n_fft": 512,
"padding_side": "right",
"padding_value": 0.0,
"preemphasis": 0.97,
"return_attention_mask": true,
"sampling_rate": 16000,
"win_length": 400
},
"processor_class": "ParakeetProcessor"
}
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