Audio Classification
Transformers
TensorBoard
Safetensors
English
wav2vec2
audio
speech
emotion-recognition
Instructions to use Dpngtm/wav2vec2-emotion-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dpngtm/wav2vec2-emotion-recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Dpngtm/wav2vec2-emotion-recognition")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Dpngtm/wav2vec2-emotion-recognition") model = AutoModelForAudioClassification.from_pretrained("Dpngtm/wav2vec2-emotion-recognition", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Access Denied to Training Notebook link
#1 opened 9 months ago
by
Prasadsomvanshi