Instructions to use mo-shadfar/laya-fa-intent-routing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use mo-shadfar/laya-fa-intent-routing 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 Persian customer-service data
Laya (multilingual checkpoint) fine-tuned on a Persian customer-service set: soft targets over intent / urgency / noul questions, ~300 cases. Trained on Kaggle 2xT4 with the RLCD DDP recipe from the laya finetune notebook.
import laya
agent = laya.load("mo-shadfar/laya-fa-intent-routing")
res = agent.predict(state, questions)
- Downloads last month
- 3
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support