Instructions to use CapstoneML/Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use CapstoneML/Model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://CapstoneML/Model") - Notebooks
- Google Colab
- Kaggle
| tensorflow-cpu==2.19.0 | |
| numpy==1.26.4 | |
| pillow==9.5.0 | |
| protobuf==3.20.3 | |
| grpcio==1.54.0 | |
| gradio==5.33.2 | |
| fastapi==0.115.12 | |
| uvicorn==0.29.0 | |