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:
- f266094a3b4ab1d48c55df243860a7d8fd70f94122730565522baeb61943a514
- Size of remote file:
- 1.67 GB
- SHA256:
- 638e1ec05232c1b84b82a392c9764a14bde2847ddba3df1c3af616bc1a97056b
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