Instructions to use Oamitai/shape-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Oamitai/shape-classification 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://Oamitai/shape-classification") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
11bc056 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ae4843f9e621b9b6180b3599c7e1481b7330ba7532190c435b66e05c1c8e7a08
size 33260131
|