Instructions to use thangved/zitwaste with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use thangved/zitwaste 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://thangved/zitwaste") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload model.tflite
8d4cb18
-
Update README.md
a587436 -
Update README.md
587f8d4 -
Update README.md
1166ce1 -
Update README.md
130bac7
-
Upload model.keras
547d4b1
-
Upload model.keras
d9d91de
-
Upload model.keras
353d419 -
Upload model.keras
9900ad4 -
initial commit
21b7f53