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")# 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
Download training_args.bin from fkov/wav2vec2-base-ft-keyword-spotting: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/fkov/wav2vec2-base-ft-keyword-spotting/resolve/main/training_args.bin
- Command line
-
hf download hf://fkov/wav2vec2-base-ft-keyword-spotting/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/fkov/wav2vec2-base-ft-keyword-spotting/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- aa9bda5d3260b0fed8ccea0d476722309f4d780d63d394c722bef4868fb5003f
- Size of remote file:
- 4.03 kB
- SHA256:
- 0cbc0b7cf536ec07e43f5f2a639a96283ce74f4ec041c3d2c86b0abfd5a35719
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