Instructions to use vectorverse/Messy_Mashup_Genre_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vectorverse/Messy_Mashup_Genre_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="vectorverse/Messy_Mashup_Genre_Classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("vectorverse/Messy_Mashup_Genre_Classifier") model = AutoModelForAudioClassification.from_pretrained("vectorverse/Messy_Mashup_Genre_Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from vectorverse/Messy_Mashup_Genre_Classifier: direct link, hf CLI and curl.
- Browser
- Download file 345 MB
-
https://huggingface.co/vectorverse/Messy_Mashup_Genre_Classifier/resolve/main/model.safetensors
- Command line
-
hf download hf://vectorverse/Messy_Mashup_Genre_Classifier/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/vectorverse/Messy_Mashup_Genre_Classifier/resolve/main/model.safetensors
345 MB
- Xet hash:
- 5b6b4c5e82c3fae8bcb20f6b31bc7eff0316138c6aa8bd4321f55961e384efe1
- Size of remote file:
- 345 MB
- SHA256:
- bca4d41f26a83f03071c8db50832fb8d1bf64f92cebe99144fa14ea74bb67868
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