pleveneur/laya-multilingual-onnx
text-classification model by pleveneur
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Model card & documentation
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ONNX export of Laya, the typed-decision model (choices / scores / no-answer), in the split format used by the LayaPL runtime: a small CPU runtime for Node.js built on onnxruntime-node. This repository only hosts the converted files, so that a runtime can fetch the model automatically instead of building it locally. subfolder multilingual, revision 55cf4c4ebb4ebe31b2550e8bdf3bd21b99753851. (laya-ts/scripts/exportonnx.py), which reads the original weights and writes the files below. No weight was retrained, quantised or altered. Innovations. All credit for the model itself goes to its authors. Total: 1 325 003 192 bytes (about 1.23 GiB). All four files are required. A…
Read the full model card ↗ · Preview checked 2026-11-10T13:34:13.853Z
Inside the original model card — Document outline
- Laya (multilingual) — ONNX export, encoder + head
- Origin and attribution
- Files
- How it is consumed
- Licence
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
pleveneur/laya-multilingual-onnx is a text-classification model repository published by pleveneur on Hugging Face. The source reports the onnx library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-classification
- Library
- onnx
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-27T06:10:19.000Z
- Last modified
- 2026-09-27T06:11:56.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: convaiinnovations/laya
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-27T06:37:53.622Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.