Instructions to use hf-tiny-model-private/tiny-random-MobileViTModel 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-MobileViTModel 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-MobileViTModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-MobileViTModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-MobileViTModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from hf-tiny-model-private/tiny-random-MobileViTModel: direct link, hf CLI and curl.
- Browser
- Download file 20.2 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-MobileViTModel/resolve/main/tf_model.h5
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-MobileViTModel/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/hf-tiny-model-private/tiny-random-MobileViTModel/resolve/main/tf_model.h5
20.2 MB
- Xet hash:
- e3bf94787b9011e9b6aed37cd78a367573a453d74e26104f31d7a1100998dc0f
- Size of remote file:
- 20.2 MB
- SHA256:
- f550f246a3c5636ec4312202821b691a144e0691ee901e693f14aca3dfac6fa2
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