Instructions to use anderloh/wav2vec_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anderloh/wav2vec_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anderloh/wav2vec_finetuned")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("anderloh/wav2vec_finetuned") model = AutoModelForAudioClassification.from_pretrained("anderloh/wav2vec_finetuned") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModelForAudioClassification
processor = AutoProcessor.from_pretrained("anderloh/wav2vec_finetuned")
model = AutoModelForAudioClassification.from_pretrained("anderloh/wav2vec_finetuned")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anderloh/wav2vec_finetuned")