Audio Classification
Transformers
ONNX
Safetensors
English
audio-spectrogram-transformer
audio
coffee
first-crack-detection
ast
Eval Results (legacy)
Instructions to use syamaner/coffee-first-crack-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syamaner/coffee-first-crack-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="syamaner/coffee-first-crack-detection")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("syamaner/coffee-first-crack-detection") model = AutoModelForAudioClassification.from_pretrained("syamaner/coffee-first-crack-detection") - Notebooks
- Google Colab
- Kaggle
Ctrl+K