Audio Classification
Transformers
Joblib
Safetensors
English
pronunciation
audio-quality
whisper
speech
Instructions to use jecallora/readai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jecallora/readai with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="jecallora/readai")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jecallora/readai", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add audio_quality model
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by rjfrncsc - opened
audio_quality/audio_classifier.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:1acfebeca373209f023d71ce77e1c1accc619c7d1f95f40a3ecaa7a5087f4afd
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audio_quality/label_encoder.joblib
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oid sha256:0ee6a57b0538e791d27c0fa268932e1f00ab23ec48d4de11a38e1b1f595d65a7
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size 471
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audio_quality/scaler.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:a3b693e92083314bdcd752ef2ecdfbac5fa3de28e51ff718be112410b7a29c9c
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size 3399
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