Instructions to use hf-tiny-model-private/tiny-random-MobileNetV2Model 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-MobileNetV2Model 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-MobileNetV2Model")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-MobileNetV2Model") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-MobileNetV2Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18dedcbc78a576718f20d6b986b36a2f6232f44d400d7595c7f86070e2dc9fa9
- Size of remote file:
- 1.03 MB
- SHA256:
- 4d992a59d6655d6f3d4292c1a931a1994fe8f4e61f88b34f8aa2ee39bf124da4
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