Instructions to use hf-internal-testing/tiny-random-SEWDForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-SEWDForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="hf-internal-testing/tiny-random-SEWDForSequenceClassification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-SEWDForSequenceClassification") model = AutoModelForAudioClassification.from_pretrained("hf-internal-testing/tiny-random-SEWDForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb06eeda8ac8f4a54961a71a16e678b2e5b95ffd07a2c4b9c227d1f2fcf4d002
- Size of remote file:
- 645 kB
- SHA256:
- 8aba3c951ecef078cd153f9ce6b9aed07a4a34f564d430174627cfcb418aa937
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