Instructions to use GoatHerder/Ariadne-Laya-BankingIntent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use GoatHerder/Ariadne-Laya-BankingIntent 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: 1,714 Bytes
3b1ff55 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | # Sources and attribution
## Shared model
This interface uses [convaiinnovations/laya](https://huggingface.co/convaiinnovations/laya/tree/55cf4c4ebb4ebe31b2550e8bdf3bd21b99753851) at revision `55cf4c4ebb4ebe31b2550e8bdf3bd21b99753851`. The runtime downloads and caches the base separately. Original Laya embeddings, encoder blocks and decision heads remain frozen.
## Software
Ariadne's runtime, prompts and benchmark preparation use code or recipes adapted from:
- [NandhaKishorM/laya](https://github.com/NandhaKishorM/laya/tree/4066d5d5fbf08b66c6757ddeedbd797bd7655bc0), commit `4066d5d5fbf08b66c6757ddeedbd797bd7655bc0`, Apache-2.0. Notice: [licenses/laya-LICENSE](licenses/laya-LICENSE).
- [AbdelStark/jev-benchmarks](https://github.com/AbdelStark/jev-benchmarks/tree/0d610cc53e79bcbec691312b0c4adb4a0e371642), commit `0d610cc53e79bcbec691312b0c4adb4a0e371642`, Apache-2.0. Notice: [licenses/jev-benchmarks-LICENSE](licenses/jev-benchmarks-LICENSE).
Ariadne's license is in [LICENSE](LICENSE). Other installed dependencies retain their own licenses. Independent adaptation; no affiliation with or endorsement by the source authors.
## Training data and evaluation
Dataset: [PolyAI/banking77](https://huggingface.co/datasets/PolyAI/banking77/tree/90d4e2ee5521c04fc1488f065b8b083658768c57), revision `90d4e2ee5521c04fc1488f065b8b083658768c57`. Dataset metadata is preserved in [source.json](source.json). The dataset retains its own license; training data is not included in this package.
See [README.md](README.md) for task scope and comparison limitations, and [metrics.json](metrics.json) for the public comparison model's revision and evaluation details. Public comparison weights are not included.
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