Instructions to use dataguychill/VioMobileNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use dataguychill/VioMobileNet with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("dataguychill/VioMobileNet") - Notebooks
- Google Colab
- Kaggle
Download model/fingerprint.pb from dataguychill/VioMobileNet: direct link, hf CLI and curl.
- Browser
- Download file 77 Bytes
-
https://huggingface.co/dataguychill/VioMobileNet/resolve/main/model/fingerprint.pb
- Command line
-
hf download hf://dataguychill/VioMobileNet/model/fingerprint.pb
-
curl -L -o fingerprint.pb https://huggingface.co/dataguychill/VioMobileNet/resolve/main/model/fingerprint.pb
77 Bytes
- Xet hash:
- 46c3e7b5c6127f8b774307744a7365791a1305e81ae1513abd39c18789a7fa8e
- Size of remote file:
- 77 Bytes
- SHA256:
- a0de78275c51ecb6ce2e2c1a68e2b8878a38fe28acafc5a5605ed5a96ccfa3f1
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