Instructions to use thu-sail-lab/Time-RCD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thu-sail-lab/Time-RCD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="thu-sail-lab/Time-RCD", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thu-sail-lab/Time-RCD", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| [build-system] | |
| requires = ["setuptools>=68"] | |
| build-backend = "setuptools.build_meta" | |
| [project] | |
| name = "time-rcd" | |
| version = "0.1.0" | |
| description = "Zero-shot time series anomaly detection with Time-RCD" | |
| readme = "README.md" | |
| requires-python = ">=3.10" | |
| license = { file = "LICENSE" } | |
| authors = [ | |
| { name = "THU SAIL Lab" }, | |
| ] | |
| classifiers = [ | |
| "Development Status :: 4 - Beta", | |
| "Intended Audience :: Science/Research", | |
| "License :: OSI Approved :: Apache Software License", | |
| "Programming Language :: Python :: 3", | |
| "Programming Language :: Python :: 3.10", | |
| "Programming Language :: Python :: 3.11", | |
| "Programming Language :: Python :: 3.12", | |
| "Topic :: Scientific/Engineering :: Artificial Intelligence", | |
| ] | |
| dependencies = [ | |
| "einops>=0.7.0", | |
| "huggingface_hub>=0.20.0", | |
| "jaxtyping>=0.2.25", | |
| "numpy>=1.24.0", | |
| "torch>=2.0.0", | |
| ] | |
| [project.urls] | |
| Homepage = "https://github.com/thu-sail-lab/Time-RCD" | |
| Repository = "https://github.com/thu-sail-lab/Time-RCD" | |
| [tool.setuptools] | |
| packages = ["time_rcd", "time_rcd._core"] | |