Instructions to use musr/seqkeras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use musr/seqkeras 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://musr/seqkeras") - Notebooks
- Google Colab
- Kaggle
Download seq.keras from musr/seqkeras: direct link, hf CLI and curl.
- Browser
- Download file 578 MB
-
https://huggingface.co/musr/seqkeras/resolve/main/seq.keras
- Command line
-
hf download hf://musr/seqkeras/seq.keras
-
curl -L -o seq.keras https://huggingface.co/musr/seqkeras/resolve/main/seq.keras
578 MB
- Xet hash:
- b116d4c5afda4800312d0feea561bc122a33cb927438cadf71119417b5b4bf2d
- Size of remote file:
- 578 MB
- SHA256:
- 3ac4cbbd54322ebdf237ce98420c1e7460b16c0e7e6da425302333a6dc059210
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