Instructions to use GiganticLemon/Transformer_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use GiganticLemon/Transformer_1 with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://GiganticLemon/Transformer_1") - Notebooks
- Google Colab
- Kaggle
Download decoder_model.keras from GiganticLemon/Transformer_1: direct link, hf CLI and curl.
- Browser
- Download file 82.8 MB
-
https://huggingface.co/GiganticLemon/Transformer_1/resolve/main/decoder_model.keras
- Command line
-
hf download hf://GiganticLemon/Transformer_1/decoder_model.keras
-
curl -L -o decoder_model.keras https://huggingface.co/GiganticLemon/Transformer_1/resolve/main/decoder_model.keras
82.8 MB
- Xet hash:
- 1cb876b47d6800a2ae49110f1263d228fe017e70105aa94e81df3ff66a7185db
- Size of remote file:
- 82.8 MB
- SHA256:
- 8cc94e1c090dc5efcf09ed032d8044173891425699f1775c184e022b6876dc95
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