Ricuicui/pioupiou-table
tabular-classification model by Ricuicui
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Model card & documentation
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A tabular foundation model written in Rust, pre-trained only on real tables. Pioupiou Table predicts the missing cells of a table in a single pass. Give it a table where one column has empty cells: it reads the filled rows as examples (in-context learning) and predicts the rest, without retraining on your table. extreme values do not throw the model off. the same step in PyTorch, with identical results (measured on an earlier, smaller version). a table in…
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Model overview
Ricuicui/pioupiou-table is a tabular-classification model repository published by Ricuicui on Hugging Face. A library was not reported.
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Model facts
- Task
- tabular-classification
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-11-09T06:37:22.000Z
- Last modified
- 2026-11-09T06:39:22.000Z
Compatibility and lineage
Reported languages: en, fr
Base-model lineage was not included.
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 2026-11-09T06:55:49.891Z. Daily imports are snapshots, not real-time monitoring.
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