Instructions to use x-g85/X_G85_LSTM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use x-g85/X_G85_LSTM with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("x-g85/X_G85_LSTM") - Notebooks
- Google Colab
- Kaggle
Download model/x_g85_lstm.keras from x-g85/X_G85_LSTM: direct link, hf CLI and curl.
- Browser
- Download file 17.3 MB
-
https://huggingface.co/x-g85/X_G85_LSTM/resolve/main/model/x_g85_lstm.keras
- Command line
-
hf download hf://x-g85/X_G85_LSTM/model/x_g85_lstm.keras
-
curl -L -o x_g85_lstm.keras https://huggingface.co/x-g85/X_G85_LSTM/resolve/main/model/x_g85_lstm.keras
17.3 MB
- Xet hash:
- 44c855fc74a19f0c28bb6e52dccfd2869ec2b8fc2a3bfdb9b901c47105231bd7
- Size of remote file:
- 17.3 MB
- SHA256:
- 848dd72be9c5f0f2ac18048eabbe3f50ae027515bd42c86482bbbc30b42500c9
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