Audio Classification
Transformers
PyTorch
TensorBoard
wav2vec2
text-classification
Generated from Trainer
Instructions to use Jungwoo4021/wav2vec2-base-ks-ept4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jungwoo4021/wav2vec2-base-ks-ept4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Jungwoo4021/wav2vec2-base-ks-ept4")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("Jungwoo4021/wav2vec2-base-ks-ept4") model = AutoModelForSequenceClassification.from_pretrained("Jungwoo4021/wav2vec2-base-ks-ept4") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot