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_continue.keras from Gwen01/ProctorVision-Models: direct link, hf CLI and curl.
- Browser
- Download file 25.3 MB
-
https://huggingface.co/Gwen01/ProctorVision-Models/resolve/main/mnv2_continue.keras
- Command line
-
hf download hf://Gwen01/ProctorVision-Models/mnv2_continue.keras
-
curl -L -o mnv2_continue.keras https://huggingface.co/Gwen01/ProctorVision-Models/resolve/main/mnv2_continue.keras
25.3 MB
- Xet hash:
- 503aea270c079a6307e602e8567cf3da0ea0ce944e564f67c9a1ea15f02b3ff9
- Size of remote file:
- 25.3 MB
- SHA256:
- 183efa1575d6d88518d06197c3b2de0208a3321858b072e008e14a628b1550a8
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