Text Classification
Transformers
Safetensors
Chinese
laya
system-one
calibrated-decisions
rlcd
chinese
classification
routing
scoring
guardrails
non-autoregressive
commercial-license-required
Instructions to use ZichenAI/layazh-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZichenAI/layazh-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ZichenAI/layazh-zh")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ZichenAI/layazh-zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
NovaAI
layazh-zh: Chinese System-1 decision model (Laya recipe, RoBERTa-large encoder + decision head); full-eval acc 0.6951 vs upstream 0.4783
f69ec12 verified