Instructions to use arunps/wav2vec2-base-adsids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arunps/wav2vec2-base-adsids with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="arunps/wav2vec2-base-adsids")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("arunps/wav2vec2-base-adsids") model = AutoModelForAudioClassification.from_pretrained("arunps/wav2vec2-base-adsids") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
af463e9 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:af686f6630e938794b1ca2e4dc1e9bb35e9df172060776634f52fbde574dcfcc
size 3567
|