Instructions to use Emmawang/fake_image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Emmawang/fake_image_classification with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Emmawang/fake_image_classification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model": { | |
| "name": "my_image_classifier", | |
| "description": "A TensorFlow image classification model", | |
| "language": "tensorflow", | |
| "pipeline_tag": "image-classification", | |
| "model_type":"mobilenet_v2" | |
| }, | |
| "tokenizer": null, | |
| "training_args": null, | |
| "dataset": null | |
| } | |