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/6a362ecc34797ce3cb2b861054fe4ed316e03b4f/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-Wav2Vec2ForAudioFrameClassification@6a362ecc34797ce3cb2b861054fe4ed316e03b4f/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-Wav2Vec2ForAudioFrameClassification/resolve/6a362ecc34797ce3cb2b861054fe4ed316e03b4f/pytorch_model.bin
133 kB
- Xet hash:
- 2022b7ad4c4a102cf8dd5561e50e7c06d9c818149493b2649fe120c1ff21287a
- Size of remote file:
- 133 kB
- SHA256:
- 45beda0defa0aa5effcdbe6dd0ba425e9c57c6b23c4dd71d0121d892412c3137
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.