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/6a586e5c01016e869a87590dc5f5faed3c16e542/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-Wav2Vec2ForAudioFrameClassification@6a586e5c01016e869a87590dc5f5faed3c16e542/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-Wav2Vec2ForAudioFrameClassification/resolve/6a586e5c01016e869a87590dc5f5faed3c16e542/pytorch_model.bin
133 kB
- Xet hash:
- be6dcd5453115b36b82191bb435ed34fb8bd8dbb915f78f496c595128d43321a
- Size of remote file:
- 133 kB
- SHA256:
- 3447fbb2c0c0d92477c23da38a58fc9668ae69a900a960222c6ef6fddbf1984c
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