Instructions to use philipsubhan/laya-typed-decisions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philipsubhan/laya-typed-decisions with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("philipsubhan/laya-typed-decisions", device_map="auto") - Laya
How to use philipsubhan/laya-typed-decisions with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Laya, fine-tuned on 99 privacy-scrubbed Rule #3 scenarios
Clean revision of laya-typed-decisions: trained from the base convaiinnovations/laya checkpoint on 99 hand-labeled, privacy-scrubbed Mind Project surfacing scenarios (surface_now vs hold_silent), superseding the revision trained on pre-scrub data.
Held-out accuracy: 0.850 | Brier: 0.1066 (20 stratified held-out scenarios).
import laya
f"agent = laya.load("philipsubhan/laya-typed-decisions")
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