Instructions to use Clementio/PLRS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Clementio/PLRS with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Clementio/PLRS", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Clementina Tom (via Gemini)
Upgrade to v0.2.0: Modular architecture, skill_encoder_v2 support, and model fallback
a30026f | from plrs.constraints.dag import DAGConstraintLayer, MasteryVector, ConstraintResult | |
| __all__ = ["DAGConstraintLayer", "MasteryVector", "ConstraintResult"] | |