Instructions to use fatzetob/Ponti_Object_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use fatzetob/Ponti_Object_Classification with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("fatzetob/Ponti_Object_Classification") - Notebooks
- Google Colab
- Kaggle
File size: 416 Bytes
48041fc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"architectures": [
"VGG16ForImageClassification"
],
"downsample_in_first_stage": false,
"id2label": {
"0": "Abfahrtsstange",
"1": "Durchfahrt",
"2": "Pfeiler",
"3": "Ziellandung"
},
"label2id": {
"Abfahrtsstange": "0",
"Durchfahrt": "1",
"Pfeiler": "2",
"Ziellandung": "3"
},
"model_type": "vgg16",
"num_channels": 3,
"transformers_version": "4.18.0.dev0"
}
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