Instructions to use Gwen01/ProctorVision-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Gwen01/ProctorVision-Models with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://Gwen01/ProctorVision-Models") - Notebooks
- Google Colab
- Kaggle
Download mnv2_head.keras from Gwen01/ProctorVision-Models: direct link, hf CLI and curl.
- Browser
- Download file 9.64 MB
-
https://huggingface.co/Gwen01/ProctorVision-Models/resolve/main/mnv2_head.keras
- Command line
-
hf download hf://Gwen01/ProctorVision-Models/mnv2_head.keras
-
curl -L -o mnv2_head.keras https://huggingface.co/Gwen01/ProctorVision-Models/resolve/main/mnv2_head.keras
9.64 MB
- Xet hash:
- 8ee4e99ad1092d9acd1942e400ee6fdb49159a3257d782a9c095e8d6251f7ba0
- Size of remote file:
- 9.64 MB
- SHA256:
- 72c05501cec59c1c0558a4444dd1593a6524cdd6ca781b82cf77bd4e899c081d
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