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:
- fd9fc0a61f7807d761973ece4aca40a9d41ca53bae5411e2ff9fe764e4c0a805
- Size of remote file:
- 29.4 MB
- SHA256:
- 80e8c1a845a8af14bcc93bc326f8b2037ca2372b10b98a4a4bede13e6ebe6387
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