Instructions to use satpalsr/fnet-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use satpalsr/fnet-classifier with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://satpalsr/fnet-classifier") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
7605a68 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1 oid sha256:7e8e8951a3e9697709f768ea5aa88e3722cfb1d03dbbb711a95a00e8f6b1f2f9 size 555400 |