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/a131bedfe977ea1b54a1b76a56019ab53c67fc8f/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-Wav2Vec2ForAudioFrameClassification@a131bedfe977ea1b54a1b76a56019ab53c67fc8f/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-Wav2Vec2ForAudioFrameClassification/resolve/a131bedfe977ea1b54a1b76a56019ab53c67fc8f/pytorch_model.bin
133 kB
- Xet hash:
- 821e9589bc0fa2576c0e510daa33377a95482757cdf68e60a96ec2ed5556fb80
- Size of remote file:
- 133 kB
- SHA256:
- 22b44185a43fc0f010fba1a5f28c4c1e0ba7ed8426f149d7e81b89a95cf236e1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.