Instructions to use Chizzsam/shape-models-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Chizzsam/shape-models-checkpoints 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://Chizzsam/shape-models-checkpoints") - Notebooks
- Google Colab
- Kaggle
File size: 487 Bytes
0b26c85 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | {
"model_version": "3.1.0",
"input": {
"shape": [
1,
224,
224,
3
],
"dtype": "float32",
"range": [
0.0,
255.0
],
"layout": "NHWC",
"color_order": "RGB",
"preprocessing": "none \u2014 normalization is baked into the model"
},
"output": {
"shape": [
1,
5
],
"dtype": "float32",
"type": "softmax"
},
"labels": [
"Heart",
"Oblong",
"Oval",
"Round",
"Square"
]
} |