Instructions to use hoangthan/image-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use hoangthan/image-classification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://hoangthan/image-classification") - Notebooks
- Google Colab
- Kaggle
| library_name: keras | |
| language: | |
| - en | |
| metrics: | |
| - accuracy | |
| pipeline_tag: image-classification | |
| ## Model description | |
| Image Classification for both digital image and sketch. | |
| List object: 'butterfly', 'candle', 'cannon', 'elephant', 'hourglass', 'pizza', 'scorpion', 'snail', 'table', 'teapot'. | |
| ## How to Get Started with the Model | |
| Use the code below to get started with the model. | |
| ```python | |
| >>> from huggingface_hub import from_pretrained_keras | |
| >>> model = from_pretrained_keras("hoangthan/image-classification") | |
| ``` | |
| ## Intended uses & limitations | |
| More information needed | |
| ## Training and evaluation data | |
| More information needed | |
| ## Training procedure | |
| ### Training hyperparameters | |
| ## Model Plot | |