Instructions to use demid28/Exam_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use demid28/Exam_model 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://demid28/Exam_model") - Notebooks
- Google Colab
- Kaggle
Download exam_model/saved_model.pb from demid28/Exam_model: direct link, hf CLI and curl.
- Browser
- Download file 231 kB
-
https://huggingface.co/demid28/Exam_model/resolve/main/exam_model/saved_model.pb
- Command line
-
hf download hf://demid28/Exam_model/exam_model/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/demid28/Exam_model/resolve/main/exam_model/saved_model.pb
231 kB
- Xet hash:
- 01515ae82411a52449b950b1670f2e024dade36de039450d4b84960ab777f064
- Size of remote file:
- 231 kB
- SHA256:
- 73b62a1fbc75756b918dd31113d7e39a602803b2e18aca5ec5d2484aafb48a74
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