rrivera1849/LUAR-MUD
feature-extraction model by rrivera1849
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Model card & documentation
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Author Style Representations using LUAR. The LUAR training and evaluation repository can be found here. This model was trained on the Reddit Million User Dataset (MUD) found here. Here's a more fleshed out example showing how to run LUAR across many batches of data: If you…
Read the full model card ↗ · Preview checked 2026-09-21T06:48:39.818Z
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Model overview
rrivera1849/LUAR-MUD is a feature-extraction model repository published by rrivera1849 on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- feature-extraction
- Library
- transformers
- Recent downloads (30 days)
- 111,855
- Cumulative likes
- 10
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 82,512,128
- Architecture
- LUAR
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2023-09-26T19:39:46.000Z
- Last modified
- 2026-05-07T18:27:09.000Z
Compatibility and lineage
Reported languages: en
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 2026-09-21T06:36:51.512Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.