Instructions to use gabri14el/grapevine_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use gabri14el/grapevine_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://gabri14el/grapevine_classification") - Notebooks
- Google Colab
- Kaggle
File size: 193 Bytes
e6b3e35 | 1 2 3 4 5 6 7 | from abc import ABC, abstractmethod
class BaseExplainer(ABC):
@abstractmethod
def get_explanation(self, img, model, img_size, props, preprocess_input = None, index=None):
pass |