Instructions to use hf-internal-testing/tiny-random-SEWForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-SEWForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="hf-internal-testing/tiny-random-SEWForSequenceClassification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-SEWForSequenceClassification") model = AutoModelForAudioClassification.from_pretrained("hf-internal-testing/tiny-random-SEWForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a90f4444fe3399dd6e91bba0e995c85391efdf99dad0006dfb99da7791d2689a
- Size of remote file:
- 240 kB
- SHA256:
- aa6ccbd31f639c0f7738f94c369dcf5692568792e5c77be0dd62b96398dbada4
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