Instructions to use hf-tiny-model-private/tiny-random-WhisperForAudioClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-WhisperForAudioClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="hf-tiny-model-private/tiny-random-WhisperForAudioClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-WhisperForAudioClassification") model = AutoModelForAudioClassification.from_pretrained("hf-tiny-model-private/tiny-random-WhisperForAudioClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-tiny-model-private/tiny-random-WhisperForAudioClassification: direct link, hf CLI and curl.
- Browser
- Download file 57.4 kB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-WhisperForAudioClassification/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-WhisperForAudioClassification@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-tiny-model-private/tiny-random-WhisperForAudioClassification/resolve/refs%2Fpr%2F1/model.safetensors
57.4 kB
- Xet hash:
- 9139ec092d1ed64d31119999a15c03b544c712da17404ca8d3896cbb52eea94f
- Size of remote file:
- 57.4 kB
- SHA256:
- 2fb7b02488fc9d1c1dac18de17adb1614d3d46c30120429ded6e441c09a92a08
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