Text Classification
Laya
ONNX
Safetensors
routing
llm-routing
model-selection
prompt-difficulty
system-one
calibrated-decisions
multilingual
Instructions to use TextCortex/raya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use TextCortex/raya 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
Download training/requirements.txt from TextCortex/raya: direct link, hf CLI and curl.
- Browser
- Download file 264 Bytes
-
https://huggingface.co/TextCortex/raya/resolve/main/training/requirements.txt
- Command line
-
hf download hf://TextCortex/raya/training/requirements.txt
-
curl -L -o requirements.txt https://huggingface.co/TextCortex/raya/resolve/main/training/requirements.txt
264 Bytes
| # Tested with these exact versions (September 2026). laya is pinned because its tokenisation | |
| # and temperature handling decide the model's inputs; the rest are minimums. | |
| laya==0.3.20 | |
| torch>=2.4 | |
| transformers>=4.48 | |
| safetensors>=0.4 | |
| numpy>=1.26 | |
| huggingface_hub>=0.26 | |