Instructions to use OliBomby/CM3P-ranked-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliBomby/CM3P-ranked-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliBomby/CM3P-ranked-classifier", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("OliBomby/CM3P-ranked-classifier", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Rename audio_feature_extractor\preprocessor_config.json to audio_feature_extractor/preprocessor_config.json
Browse files
audio_feature_extractor/{/preprocessor_config.json → preprocessor_config.json}
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File without changes
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