Instructions to use hf-internal-testing/tiny-random-WavLMForAudioFrameClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-WavLMForAudioFrameClassification with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-WavLMForAudioFrameClassification") model = AutoModelForAudioFrameClassification.from_pretrained("hf-internal-testing/tiny-random-WavLMForAudioFrameClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-WavLMForAudioFrameClassification: direct link, hf CLI and curl.
- Browser
- Download file 121 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-WavLMForAudioFrameClassification/resolve/refs%2Fpr%2F40/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-WavLMForAudioFrameClassification@refs/pr/40/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-WavLMForAudioFrameClassification/resolve/refs%2Fpr%2F40/model.safetensors
121 kB
- Xet hash:
- 9a64c42b8cffe56a0f167d29c68ad59818b1ecc1192df0c2bc065c7f474e6b76
- Size of remote file:
- 121 kB
- SHA256:
- 2eea6bce06f80810b43d26af090278fefe68d828b489e1aeecc695f7409da460
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