Audio Classification
Transformers
TensorBoard
Safetensors
wavlm
Generated from Trainer
Eval Results (legacy)
Instructions to use codymd/wavlm-base-plus-finetuned-linnut-sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codymd/wavlm-base-plus-finetuned-linnut-sm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="codymd/wavlm-base-plus-finetuned-linnut-sm")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("codymd/wavlm-base-plus-finetuned-linnut-sm") model = AutoModelForAudioClassification.from_pretrained("codymd/wavlm-base-plus-finetuned-linnut-sm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 486764ae59ac6a8d475d9dbdd9ed32e539f13f0395edaa77efed9031fc8ff37e
- Size of remote file:
- 378 MB
- SHA256:
- 6632464093785771b67c78242b0414f9b94f2be1a0991e8eeac2b076ec020523
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