Instructions to use sharktide/FireTrustNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sharktide/FireTrustNet with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://sharktide/FireTrustNet") - Notebooks
- Google Colab
- Kaggle
| import tensorflow as tf | |
| from tensorflow.keras.saving import register_keras_serializable | |
| from tensorflow.keras import layers, models, backend as K | |
| import numpy as np | |
| def firetrust_activation(x): | |
| return 0.5 + tf.sigmoid(x) | |
| CUSTOM_OBJECTS = { | |
| "firetrust_activation": firetrust_activation, | |
| "mse": tf.keras.losses.MeanSquaredError | |
| } | |