Instructions to use OneclickAI/LSTM_GUE_test_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use OneclickAI/LSTM_GUE_test_Model 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://OneclickAI/LSTM_GUE_test_Model") - Notebooks
- Google Colab
- Kaggle
Download lstm_model.keras from OneclickAI/LSTM_GUE_test_Model: direct link, hf CLI and curl.
- Browser
- Download file 16 MB
-
https://huggingface.co/OneclickAI/LSTM_GUE_test_Model/resolve/main/lstm_model.keras
- Command line
-
hf download hf://OneclickAI/LSTM_GUE_test_Model/lstm_model.keras
-
curl -L -o lstm_model.keras https://huggingface.co/OneclickAI/LSTM_GUE_test_Model/resolve/main/lstm_model.keras
16 MB
- Xet hash:
- 1a5eaba7d0eb4e718ae4b880cd52bfb3e7a16046b671dab0bb5c990e52bd698e
- Size of remote file:
- 16 MB
- SHA256:
- bb6860862430ec7efb7d78de4ef5f5adfc191a2b52f441404228b2df0ffcb6e2
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