Instructions to use BillyAggarwal/NeuralStyleTransfer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use BillyAggarwal/NeuralStyleTransfer with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://BillyAggarwal/NeuralStyleTransfer") - Notebooks
- Google Colab
- Kaggle
| import gradio as gr | |
| from huggingface_hub import InferenceClient | |
| client = InferenceClient("BillyAggarwal/NeuralStyleTrasnferModel.keras") | |
| def style_transfer(content_image, style_image): | |
| # send images to Hugging Face model | |
| result = client.post( | |
| json={"inputs": {"content": content_image, "style": style_image}} | |
| ) | |
| return result | |
| demo = gr.Interface( | |
| fn=style_transfer, | |
| inputs=[gr.Image(), gr.Image()], | |
| outputs=gr.Image(), | |
| title="Neural Style Transfer" | |
| ) | |
| demo.launch() |