Instructions to use RunyaoYu/PriceFM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use RunyaoYu/PriceFM with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://RunyaoYu/PriceFM") - Notebooks
- Google Colab
- Kaggle
metadata
license: cc-by-4.0
Paper link: https://arxiv.org/pdf/2508.04875
Data link: https://huggingface.co/datasets/RunyaoYu/PriceFM
Github link: https://github.com/runyao-yu/PriceFM