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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-SEWForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 240 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-SEWForSequenceClassification/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-SEWForSequenceClassification@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-SEWForSequenceClassification/resolve/refs%2Fpr%2F1/model.safetensors
240 kB
- Xet hash:
- a90f4444fe3399dd6e91bba0e995c85391efdf99dad0006dfb99da7791d2689a
- Size of remote file:
- 240 kB
- SHA256:
- aa6ccbd31f639c0f7738f94c369dcf5692568792e5c77be0dd62b96398dbada4
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