josmunpen/mt5-small-spanish-summarization

summarization model by josmunpen

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language: thumbnail: tags: license: apache-2.0 datasets: metrics: widget: El grupo desarticulado ofrecia el servicio de transporte y tecnologia para copiar y poder aprobar. Por dicho servicio cobraban 1.000 euros. Los investigadores sorprendieron in fraganti a una mujer intentando copiar en el examen. Portaba una chaqueta con dispositivos electronicos ocultos, concretamente un telefono movil al que estaba conectada una camara que habia sido insertada en la parte frontal de la chaqueta para transmitir online el examen y que orientada al ordenador del Centro de Examenes en el que aparecen las preguntas, permitia visualizar las imagenes en otro ordenador alojado en el interior de un vehiculo estacionado en las inmediaciones del centro. En este vehiculo, se encontraban el resto del grupo desarticulado con varios ordenadores portatiles y tablets abiertos y conectados a paginas de test de la DGT para consultar las respuestas. Estos, comunicaban con la mujer que estaba en el aula…

josmunpen/mt5-small-spanish-summarization on Hugging Face A short preview, not the full document.

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  2. mt5-small-spanish-summarization
  3. Model description
  4. Training data
  5. Training procedure
  6. Hyperparameters
  7. Eval results
  8. BibTeX entry and citation info

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Model overview

josmunpen/mt5-small-spanish-summarization is a summarization model repository published by josmunpen 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
summarization
Library
transformers
Recent downloads (30 days)
1,127
Cumulative likes
2
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
MT5ForConditionalGeneration
License
apache-2.0
Access
Not gated by Hugging Face
Created
2022-03-02T23:29:05.000Z
Last modified
2021-11-03T09:47:51.000Z

Compatibility and lineage

Reported languages: es

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.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:36.205Z. Daily imports are snapshots, not real-time monitoring.

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