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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 900965f487d12ac337f47928005c07a01d4aaae668f9d04cf1537b0f27f9103f
- Size of remote file:
- 924 kB
- SHA256:
- 414972ebfaf8d50abd048f284d5e9f8d6abed770a6b4ec2c78b646b3cf7bd745
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