Instructions to use InuriDinethma/black-tea-powder-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use InuriDinethma/black-tea-powder-classifier with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://InuriDinethma/black-tea-powder-classifier") - Notebooks
- Google Colab
- Kaggle
File size: 638 Bytes
bbe4ef4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"architecture": "EfficientNetV2S",
"image_size": 384,
"load_size": 432,
"training_min_load_size": 432,
"training_max_load_size": 480,
"central_crop_fraction": 0.68,
"head_initial_learning_rate": 0.0003,
"fine_tune_initial_learning_rate": 1e-05,
"minimum_learning_rate": 1e-08,
"sequence_group_size": 10,
"near_duplicate_hash_distance": 4,
"tta_passes": 10,
"not_tea_class_name": "NOT_TEA",
"not_tea_target_images": 1800,
"negative_dataset_primary": "Open Images V7",
"negative_dataset_source": "Caltech-101 direct official download",
"deployment_min_confidence": 0.0
} |