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:
- ce1927cc8065263d5e7eb822ac401491cda6614de8d000c17a3e9a79d06c3d95
- Size of remote file:
- 688 kB
- SHA256:
- 1a14b97bae7d6feb38c969b95bb20427a7d23a9df57a1099ca4542973eab0d62
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