Instructions to use hf-internal-testing/tiny-random-MobileNetV1Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MobileNetV1Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hf-internal-testing/tiny-random-MobileNetV1Model")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-MobileNetV1Model") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MobileNetV1Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2145afdf7314885f5d386ac22cf770073f5473fbb885bc89f6aaa240efc05534
- Size of remote file:
- 890 kB
- SHA256:
- 82507f74471d286c947f4929641f2579f3d19659461cc3cdd1a6273d32abf300
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