Audio Classification
Transformers
Safetensors
audio-spectrogram-transformer
emotion-detection
speech-emotion-recognition
huggingface
qlora
bitsandbytes
Instructions to use aicinema69/audio-emotion-detector-try2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aicinema69/audio-emotion-detector-try2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="aicinema69/audio-emotion-detector-try2")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("aicinema69/audio-emotion-detector-try2") model = AutoModelForAudioClassification.from_pretrained("aicinema69/audio-emotion-detector-try2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!