Instructions to use hf-internal-testing/tiny-random-SEWModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-SEWModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-SEWModel")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-SEWModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-SEWModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7af1dc412bd9285a44ff711efa22a5b0c706293572d90b402669fcc875f8a29a
- Size of remote file:
- 204 kB
- SHA256:
- 48c3804d33aebc83af42a7d6fba506478966e7ca1de8978ecfa589676bb1b7cb
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