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 config.json from OneclickAI/LSTM_GUE_test_Model: direct link, hf CLI and curl.
- Browser
- Download file 47 Bytes
-
https://huggingface.co/OneclickAI/LSTM_GUE_test_Model/resolve/main/config.json
- Command line
-
hf download hf://OneclickAI/LSTM_GUE_test_Model/config.json
-
curl -L -o config.json https://huggingface.co/OneclickAI/LSTM_GUE_test_Model/resolve/main/config.json
47 Bytes
Invalid JSON:Expected property name or '}' in JSONat line 3, column 5
| { | |
| model : {}, | |
| layers : {}, | |
| } |