Instructions to use Datadragon110/freshwater-quantization-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Datadragon110/freshwater-quantization-models 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://Datadragon110/freshwater-quantization-models") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- 4.92 MB xet
- 4.92 MB xet
- 4.92 MB xet
- 4.92 MB xet
- 4.56 MB xet
- 8.11 MB xet
- 16.1 MB xet
- 4.92 MB xet
- 16.1 MB xet
- 4.92 MB xet
- 16.1 MB xet
- 4.92 MB xet
- 16.1 MB xet
- 4.92 MB xet
- 16.1 MB xet
- 4.92 MB xet
- 16.1 MB xet
- 618 kB xet
- 618 kB xet
- 618 kB xet
- 618 kB xet
- 548 kB xet
- 886 kB xet
- 1.73 MB xet
- 618 kB xet
- 1.73 MB xet
- 618 kB xet
- 1.73 MB xet
- 618 kB xet
- 1.73 MB xet
- 618 kB xet
- 1.73 MB xet
- 618 kB xet
- 1.73 MB xet
- 4.92 MB xet
- 16.1 MB xet
- 618 kB xet
- 1.73 MB xet
- 4.92 MB xet
- 16.1 MB xet
- 4.92 MB xet
- 16.1 MB xet
- 4.92 MB xet
- 16.1 MB xet
- 4.92 MB xet
- 16.1 MB xet
- 4.92 MB xet
- 16.1 MB xet
- 4.92 MB xet
- 16.1 MB xet