Instructions to use learningdude/wav2vec2-base-sound2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use learningdude/wav2vec2-base-sound2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="learningdude/wav2vec2-base-sound2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("learningdude/wav2vec2-base-sound2") model = AutoModelForAudioClassification.from_pretrained("learningdude/wav2vec2-base-sound2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from learningdude/wav2vec2-base-sound2: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/learningdude/wav2vec2-base-sound2/resolve/main/training_args.bin
- Command line
-
hf download hf://learningdude/wav2vec2-base-sound2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/learningdude/wav2vec2-base-sound2/resolve/main/training_args.bin
3.06 kB
- Xet hash:
- 5de5e40b22c889747cea94059b524093bfb6293cd02cc5c65222acafd9a8ced1
- Size of remote file:
- 3.06 kB
- SHA256:
- bd4b784b062f724734f97292fc2fd3755dfe4de88bd9bb46eb35f63d0e642a86
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