Instructions to use GoatHerder/Ariadne-Laya-TD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use GoatHerder/Ariadne-Laya-TD 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
File size: 1,160 Bytes
eaea151 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | # Third-party sources
Ariadne's prompts and preparation recipes were adapted from:
- NandhaKishorM/laya, commit `4066d5d5fbf08b66c6757ddeedbd797bd7655bc0`, Apache-2.0. Source: https://github.com/NandhaKishorM/laya
- AbdelStark/jev-benchmarks, commit `0d610cc53e79bcbec691312b0c4adb4a0e371642`, Apache-2.0. The BTZSC grouping and balanced sample recipe follows this project. Source: https://github.com/AbdelStark/jev-benchmarks
Copyright and license notices are retained in `licenses/`. The code is adapted for this repository's canonical case format, adapters and scorer. No upstream claims of affiliation or endorsement apply.
Datasets and model weights keep their own licenses. Their source URLs, immutable revisions and model-card license metadata appear in `benchmarks/sources.lock.json` and model configs. Data is downloaded on request into ignored local directories; the harness does not relicense it. See each source card for terms, provenance and training exposure.
TypeSafe's public documentation defines the native System One request/response contract. The official evaluation website is cited for research; its examples are not redistributed.
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