Instructions to use Falah/Audio_Classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falah/Audio_Classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Falah/Audio_Classification_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Falah/Audio_Classification_model") model = AutoModelForAudioClassification.from_pretrained("Falah/Audio_Classification_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Falah/Audio_Classification_model: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/Falah/Audio_Classification_model/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://Falah/Audio_Classification_model@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Falah/Audio_Classification_model/resolve/refs%2Fpr%2F1/model.safetensors
378 MB
- Xet hash:
- 673ddb4e47222c4e7bd9307943218cb89f3efa083a2aa01a06e83c3efa2afc37
- Size of remote file:
- 378 MB
- SHA256:
- 65e6130fed27a37ba7141517c92282cf12f5b700dbc0eece2502c84ed6ecedb1
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