Instructions to use Thamer/wav2vec-fine_tuned-speech_command2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Thamer/wav2vec-fine_tuned-speech_command2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Thamer/wav2vec-fine_tuned-speech_command2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Thamer/wav2vec-fine_tuned-speech_command2") model = AutoModelForAudioClassification.from_pretrained("Thamer/wav2vec-fine_tuned-speech_command2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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