Instructions to use hf-internal-testing/tiny-random-Wav2Vec2ForAudioFrameClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Wav2Vec2ForAudioFrameClassification with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-Wav2Vec2ForAudioFrameClassification") model = AutoModelForAudioFrameClassification.from_pretrained("hf-internal-testing/tiny-random-Wav2Vec2ForAudioFrameClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-Wav2Vec2ForAudioFrameClassification: direct link, hf CLI and curl.
- Browser
- Download file 133 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-Wav2Vec2ForAudioFrameClassification/resolve/42cdf0a2a5a2b49a50d5eb238844766d1bb438e7/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-Wav2Vec2ForAudioFrameClassification@42cdf0a2a5a2b49a50d5eb238844766d1bb438e7/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-Wav2Vec2ForAudioFrameClassification/resolve/42cdf0a2a5a2b49a50d5eb238844766d1bb438e7/pytorch_model.bin
133 kB
- Xet hash:
- dfd60729671828b37365128e2b7f4557658a14b03169b893ec5865ae71bb6bf8
- Size of remote file:
- 133 kB
- SHA256:
- 0553a1551b917d0d7a1289510bbb9c59e4c6b83f833b17dda2a7d7261cb11b18
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