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
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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
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