Downloads · 30 days
5
3% of all-time downloads
XLM-R-Large-ClaimDetection-ONNX-INT8
GLLhJpFfYB/XLM-R-Large-ClaimDetection-ONNX-INT8
XLM-R-Large-ClaimDetection-ONNX-INT8 is a machine learning model from GLLhJpFfYB. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-4.0.
A portable INT8 ONNX export of Sami92/XLM-R-Large-ClaimDetection (multilingual check-worthiness / factual-claim detection), for offline CPU inference via ONNX Runtime.
All-time downloads
200
Public
Repo size
584 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.onnx562 MB · 96%
At a glance
- License
- cc-by-4.0
- Model type
- xlm-roberta
- Access
- Public
- Created
- Jul 2, 2026
- Updated
- Jul 2, 2026
- SHA
- f63841c1
Base models
Model card
From the Hugging Face model README
XLM-R-Large-ClaimDetection — INT8 ONNX
A portable INT8 ONNX export of
Sami92/XLM-R-Large-ClaimDetection
(multilingual check-worthiness / factual-claim detection), for offline CPU inference via
ONNX Runtime.
- Source model / license:
Sami92/XLM-R-Large-ClaimDetection, CC-BY-4.0 — attribution required and retained (see the source repo). This is a pure format conversion (fp32 ONNX export viaoptimum, then portable INT8 dynamic quantisation viaonnxruntime.quantization.quantize_dynamic, QInt8), so the CC-BY-4.0 license is inherited. config.jsonis byte-identical to the source, so the label mapping is preserved (id2label: index 1 ="factual"= the CLAIM class).- Quantisation: portable QInt8 dynamic — runs through ONNX Runtime's
CPUExecutionProvideron any architecture (x86-64 and arm64). Deliberately not the x86-onlyavx512_vnnitarget. - Built by the Buddy framework's
dev/export_gatekeeper_onnx.py(S3.71), validated to discriminate an obvious claim from obvious social glue before upload.
- Type
- xlm-roberta
- License
- cc-by-4.0
- Created
- Jul 2, 2026
- Updated
- Jul 2, 2026