Instructions to use hf-tiny-model-private/tiny-random-MobileNetV1Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-MobileNetV1Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hf-tiny-model-private/tiny-random-MobileNetV1Model")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-MobileNetV1Model") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-MobileNetV1Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c82276be49280ce91426e598d6e3b6869edc990203e687a45c1b8a5452bd626
- Size of remote file:
- 924 kB
- SHA256:
- 0d735852b6e132b7c03f95f7b7731730f6fb9389296fb05fca41ad389b531db2
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