MobileViT Brain Tumor Classifier
This MobileViT model classifies brain MRI scans into:
- Healthy
- Tumor
Accuracy: 98.5%
โ ๏ธ Note: For research/educational purposes only. Not for clinical use.
Model Files
model.keras
: Native Keras format (recommended)model.h5
: Legacy H5 formatsaved_model/
: TensorFlow SavedModel formatmodel.weights.h5
: Model weights onlymodel_config.json
: Model architecture configurationclass_names.json
: Class label mappings
Usage
import tensorflow as tf
from huggingface_hub import hf_hub_download
# Download and load model
model_path = hf_hub_download(repo_id="abdo1176/brain-model-test", filename="model.keras")
model = tf.keras.models.load_model(model_path)
# Or load weights only
weights_path = hf_hub_download(repo_id="abdo1176/brain-model-test", filename="model.weights.h5")
# model.load_weights(weights_path)
- Downloads last month
- -
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
๐
Ask for provider support