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
File size: 159 Bytes
87d3f3b | 1 2 3 4 5 6 7 8 9 | {
"do_normalize": true,
"feature_size": 1,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": false,
"sampling_rate": 16000
}
|