Audio Classification
Transformers
Safetensors
Dutch
wave
feature-extraction
audio
speech
multimodal
synthetic-speech
quality-assessment
asr
word-alignment
speech-verification
custom_code
Instructions to use yuriyvnv/WAVe-1B-Multimodal-NL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuriyvnv/WAVe-1B-Multimodal-NL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="yuriyvnv/WAVe-1B-Multimodal-NL", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yuriyvnv/WAVe-1B-Multimodal-NL", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9abfbcdb4ffc00d355a5aceeb3df3cad5ed9f079223b9434115e96b6423ffb1
- Size of remote file:
- 17.1 MB
- SHA256:
- cad551d5600a84242d0973327029452a1e3672ba6313c2a3c3d69c4310e12719
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