Instructions to use keras-io/timeseries-classification-from-scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/timeseries-classification-from-scratch with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("keras-io/timeseries-classification-from-scratch") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from keras-io/timeseries-classification-from-scratch: direct link, hf CLI and curl.
- Browser
- Download file 244 kB
-
https://huggingface.co/keras-io/timeseries-classification-from-scratch/resolve/main/saved_model.pb
- Command line
-
hf download hf://keras-io/timeseries-classification-from-scratch/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/keras-io/timeseries-classification-from-scratch/resolve/main/saved_model.pb
244 kB
- Xet hash:
- 38c5e040490a186570f751d7663f4fff36a4251007da6a3e8f22c22f8b8da3e2
- Size of remote file:
- 244 kB
- SHA256:
- 63f2a72f5ef5f8b003c9949e1e650965a9ba6809552fd3d7deddc0d5a0eb4436
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