deutsche-telekom/mt5-small-sum-de-en-v1
summarization model by deutsche-telekom
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
This is a bilingual summarization model for English and German. It is based on the multilingual T5 model google/mt5-small. [](https://www.welove.ai/) This model is provided by the One Conversation team of Deutsche Telekom AG. The training was conducted with the following hyperparameters: The datasets were preprocessed as follows: The summary was tokenized with the google/mt5-small tokenizer. Then only the records with no more than 94 summary tokens were selected. The MLSUM dataset has a special characteristic. In the text, the summary is often included completely as one or more sentences. These have been removed from the texts. The reason is…
Read the full model card ↗ · Preview checked 2026-10-31T19:30:26.904Z
Inside the original model card — Document outline
- mT5-small-sum-de-en-v1
- Training
- Datasets and Preprocessing
- Evaluation on MLSUM German Test Set (no beams)
- Evaluation on CNN Daily English Test Set (no beams)
- Evaluation on Extreme Summarization (XSum) English Test Set (no beams)
- License
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the model card
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. Reported project/model license: cc-by-nc-sa-4.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
deutsche-telekom/mt5-small-sum-de-en-v1 is a summarization model repository published by deutsche-telekom 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)
- 585
- Cumulative likes
- 9
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 300,164,480
- Architecture
- MT5ForConditionalGeneration
- License
- cc-by-nc-sa-4.0
- Access
- Not gated by Hugging Face
- Created
- 2022-03-02T23:29:05.000Z
- Last modified
- 2023-05-08T17:49:55.000Z
Compatibility and lineage
Reported languages: de, en, multilingual
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
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.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:36.205Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
Related models
pszemraj/long-t5-tglobal-base-sci-simplify
philschmid/bart-large-cnn-samsum