Instructions to use FerhatDk/wav2vec2-base_music_speech_both_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FerhatDk/wav2vec2-base_music_speech_both_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="FerhatDk/wav2vec2-base_music_speech_both_classification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("FerhatDk/wav2vec2-base_music_speech_both_classification") model = AutoModelForAudioClassification.from_pretrained("FerhatDk/wav2vec2-base_music_speech_both_classification") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#2 opened over 2 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot