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
- Xet hash:
- c98a61f6b9f786192d235bb57c22744a0429abb92fb485226ad5809fd34dbe06
- Size of remote file:
- 1.26 GB
- SHA256:
- e78a64ee78417815822b0fe556e6f5d6559f85e1301ec71960c36745266a9368
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