Instructions to use suvmkr/classification_between_6_types with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use suvmkr/classification_between_6_types with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://suvmkr/classification_between_6_types") - Notebooks
- Google Colab
- Kaggle
File size: 687 Bytes
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tags:
- image-classification
- cnn
- keras
- tensorflow
license: apache-2.0
datasets:
- custom-dataset
model_creator: suvmkr
model_name: Classification Between 6 Types
framework: tensorflow
---
# Classification Between 6 Types
This is a Convolutional Neural Network (CNN) model trained to classify images into six categories.
## Model Details
- Framework: TensorFlow/Keras
- Model Format: `.keras`
- Input Image Size: `150x150`
- Classes: [buildings,forest,glacier,mountain,sea,street]
### Load the Model
```python
from tensorflow.keras.models import load_model
model = load_model("https://huggingface.co/suvmkr/classification_between_6_types/resolve/main/yes.keras")
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