Instructions to use leolee99/PIGuard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leolee99/PIGuard with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leolee99/PIGuard", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("leolee99/PIGuard", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- afbbb7dd9495244cd5c7b7288cf25039d0c25446f615ed43e16c78bc43c89689
- Size of remote file:
- 121 kB
- SHA256:
- e2475408b31f72c764ccd1c052dbef17a9d5799150e72973e368f4a771c1979f
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