Instructions to use thenewsupercell/wav2vec2AudioDF-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thenewsupercell/wav2vec2AudioDF-V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="thenewsupercell/wav2vec2AudioDF-V2")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("thenewsupercell/wav2vec2AudioDF-V2") model = AutoModelForAudioClassification.from_pretrained("thenewsupercell/wav2vec2AudioDF-V2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a43b04205c2da05f238d571c6642a5ac54ebbdd2cf5052138cb0bee992bc15d8
- Size of remote file:
- 5.18 kB
- SHA256:
- ebddfb4747de052a148b7a85086bde2108ff88445b70c25920ecc21f59fefcdf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.