Instructions to use clinton254/patch_tst with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clinton254/patch_tst with Transformers:
# Load model directly from transformers import AutoTokenizer, PatchTSTForClassification tokenizer = AutoTokenizer.from_pretrained("clinton254/patch_tst") model = PatchTSTForClassification.from_pretrained("clinton254/patch_tst") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a66e81aabe67cbc15d3efde1670be7609f5c27856825d12dbfd19d492f0b763
- Size of remote file:
- 2.42 MB
- SHA256:
- e9e064010e4dce528ea8f9872d47e4e656678161bfb8f8badd18c7714cfe7389
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