HuggingPanda/docling-layout
object-detection model by HuggingPanda
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Model card & documentation
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This is the Docling model for layout detection, designed to facilitate easy importing and usage like any other Hugging Face model. This model is part of the Docling repository, which provides document layout analysis tools. Here's how you can load and use the model: If you use this…
Read the full model card ↗ · Preview checked 2026-10-28T02:53:48.872Z
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Model overview
HuggingPanda/docling-layout is a object-detection model repository published by HuggingPanda on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- object-detection
- Library
- Not reported
- Recent downloads (30 days)
- 1,361
- Cumulative likes
- 6
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 42,891,962
- Architecture
- RTDetrForObjectDetection
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2025-03-13T11:39:16.000Z
- Last modified
- 2025-05-21T15:09:05.000Z
Compatibility and lineage
Reported languages: en
Reported base models: ds4sd/docling-models
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
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-15T06:44:21.006Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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