Instructions to use Cainiao-AI/TAAS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cainiao-AI/TAAS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Cainiao-AI/TAAS", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Cainiao-AI/TAAS", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00c1ec791b4fe3ca6581298d728a66f049afb91b70cded4e5b5e2039a8fad6bd
- Size of remote file:
- 6.04 MB
- SHA256:
- 2850ae4e9d3ad005d519d2e1d3e7916b1a8fab7884ef9ad88da62d8159673ee2
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