tsmatz/mt5_summarize_japanese
summarization model by tsmatz
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Model card & documentation
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(Japanese caption : 日本語の要約のモデル) This model is a fine-tuned version of google/mt5-small trained for Japanese summarization. This model is fine-tuned on BBC news articles (XL-Sum Japanese dataset), in which the first sentence (headline sentence) is used for summary and others are used for article. So, please fill news story (including, such as, event, background, result, and comment) as source text in the inferece widget. (Other corpra…
Read the full model card ↗ · Preview checked 2026-11-01T14:05:17.530Z
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- mt5summarizejapanese
- Intended uses
- Training procedure
- Training hyperparameters
- Training results
- Framework versions
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Model overview
tsmatz/mt5_summarize_japanese is a summarization model repository published by tsmatz 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)
- 322
- Cumulative likes
- 21
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 300,176,768
- Architecture
- MT5ForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2022-11-26T10:51:27.000Z
- Last modified
- 2024-07-12T00:01:31.000Z
Compatibility and lineage
Reported languages: ja
Reported base models: google/mt5-small
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 2026-10-19T06:46:19.009Z. 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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