Instructions to use hf-internal-testing/tiny-random-SEWDModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-SEWDModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-SEWDModel")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-SEWDModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-SEWDModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db3fed6011e81abf27fcb61cd1261fa9284bf07df4d5610126118a397d0e2dd2
- Size of remote file:
- 270 kB
- SHA256:
- 7a145141ddeeadbb28b6d2e98ff0bc0b18ad8f602334e6274bef473cf4b9b8bc
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