Instructions to use JLB-JLB/patchTST_336 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JLB-JLB/patchTST_336 with Transformers:
# Load model directly from transformers import AutoTokenizer, PatchTSTForPrediction tokenizer = AutoTokenizer.from_pretrained("JLB-JLB/patchTST_336") model = PatchTSTForPrediction.from_pretrained("JLB-JLB/patchTST_336") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9feb0e078b3bd1f5edf484ce21b10309535d203e71170d83dd15bfa903e8321e
- Size of remote file:
- 83.9 MB
- SHA256:
- 36b7b51f52c22cef3b15e0c10a4bade72fefc9ba0ab0446a551552e033de7471
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