Instructions to use cxlrd/revix-classifier_4.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cxlrd/revix-classifier_4.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="cxlrd/revix-classifier_4.0")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("cxlrd/revix-classifier_4.0") model = AutoModelForAudioClassification.from_pretrained("cxlrd/revix-classifier_4.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f528b6ab9097b13f75ee7a37d273485bb204bb99d78aba7c3ef6c633d1a0c7f
- Size of remote file:
- 5.84 kB
- SHA256:
- b4a895e715ec41cb112f88bae554eb67892f2aaf20167fc9d5a3146423080b37
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