Instructions to use hf-internal-testing/tiny-random-MobileNetV2Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MobileNetV2Model 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-MobileNetV2Model")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-MobileNetV2Model") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MobileNetV2Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-MobileNetV2Model: direct link, hf CLI and curl.
- Browser
- Download file 1.09 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-MobileNetV2Model/resolve/fac49623c4bea274c2b7955d391b3eacbdf7308d/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-MobileNetV2Model@fac49623c4bea274c2b7955d391b3eacbdf7308d/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-MobileNetV2Model/resolve/fac49623c4bea274c2b7955d391b3eacbdf7308d/pytorch_model.bin
1.09 MB
- Xet hash:
- 9b2dd7ee0ae9467e8b25a506c4c5f927d8632c52f6585403e54d876ff252eb2d
- Size of remote file:
- 1.09 MB
- SHA256:
- c1e5a85341851498dcb606bf0244ec1f74345438abd775b36ba695de4d87cd1b
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