Audio Classification
Transformers
Safetensors
English
wav2vec2multihead_3class
speech
speech classification
intent classification
custom_code
Instructions to use techsword/wav2vec2-base-fsc-ic-multiheadmultilabel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use techsword/wav2vec2-base-fsc-ic-multiheadmultilabel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="techsword/wav2vec2-base-fsc-ic-multiheadmultilabel", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForAudioClassification model = AutoModelForAudioClassification.from_pretrained("techsword/wav2vec2-base-fsc-ic-multiheadmultilabel", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add preprocessor_config.json (Wav2Vec2FeatureExtractor, 16 kHz) so AutoProcessor/pipeline loading works
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