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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d805f00c38cdcfebfa1ab7bad3130eecdbb53eea09136bebe3814c450e199bba
- Size of remote file:
- 324 kB
- SHA256:
- 697d256fa1e2fff3f4eac1d191636110eb73504a32a9599162d71faa3c89bf81
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