Instructions to use haoranzhao419/saffu-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haoranzhao419/saffu-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="haoranzhao419/saffu-base", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("haoranzhao419/saffu-base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5279fb50c76e0ec1422182a1f8779630bc6a1b5eda959b650eb0ad5fd38205e
- Size of remote file:
- 74.9 MB
- SHA256:
- 6ebe60b7d10310f37f08504ad458f718fda624eee21a09234f9b9222c6899084
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