Instructions to use geninhu/fnet-text-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use geninhu/fnet-text-generation with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("geninhu/fnet-text-generation") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from geninhu/fnet-text-generation: direct link, hf CLI and curl.
- Browser
- Download file 1.12 MB
-
https://huggingface.co/geninhu/fnet-text-generation/resolve/main/saved_model.pb
- Command line
-
hf download hf://geninhu/fnet-text-generation/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/geninhu/fnet-text-generation/resolve/main/saved_model.pb
1.12 MB
- Xet hash:
- 3ee1ee1fc1aa9dd2a9b525ff6670d6f27b12e3b04df0c4d9c1fa377e3f8d4760
- Size of remote file:
- 1.12 MB
- SHA256:
- 8cb622fe35664fde02f07245730b48f599c799aa5c3c30f2de3277f84c2e89ae
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