Instructions to use fkov/wav2vec2-base-ft-keyword-spotting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fkov/wav2vec2-base-ft-keyword-spotting with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="fkov/wav2vec2-base-ft-keyword-spotting")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("fkov/wav2vec2-base-ft-keyword-spotting") model = AutoModelForAudioClassification.from_pretrained("fkov/wav2vec2-base-ft-keyword-spotting", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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