Instructions to use keras-io/timeseries_transformer_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/timeseries_transformer_classification 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("keras-io/timeseries_transformer_classification") - Notebooks
- Google Colab
- Kaggle
Set `library_name` to `tf-keras`. (#1)
Browse files- Set `library_name` to `tf-keras`. (471c0a45398b3d0a8a79587dff41013aea62d681)
Co-authored-by: Lucain Pouget <Wauplin@users.noreply.huggingface.co>
README.md
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tags:
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- time-series-forecasting
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dataset:
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- FordA
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license: cc0-1.0
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library_name: keras
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---
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## Timeseries classification with a Transformer model on the 🤗Hub!
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Full credits go to [Theodoros Ntakouris](https://github.com/ntakouris).
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---
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library_name: tf-keras
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license: cc0-1.0
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tags:
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- time-series-forecasting
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dataset:
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- FordA
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---
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## Timeseries classification with a Transformer model on the 🤗Hub!
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Full credits go to [Theodoros Ntakouris](https://github.com/ntakouris).
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