Instructions to use mnigr/patchtst-mean-reversion-scanner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mnigr/patchtst-mean-reversion-scanner with Transformers:
# Load model directly from transformers import AutoTokenizer, PatchTSTForClassification tokenizer = AutoTokenizer.from_pretrained("mnigr/patchtst-mean-reversion-scanner") model = PatchTSTForClassification.from_pretrained("mnigr/patchtst-mean-reversion-scanner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b76f67a27b00c6ed9fe173a2624b2acebd2b8efcc7906a6bd4bcf45bbddfbee
- Size of remote file:
- 807 Bytes
- SHA256:
- 295748b448bc096e95de7c756a961a74fb6b07b73b1c253e08cd5a7eee44da0a
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