google-t5/t5-small
translation model by google-t5
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.
The developers of the Text-To-Text Transfer Transformer (T5) write: T5-Small is the checkpoint with 60 million parameters. The developers write in a blog post that the model: See the blog post and research paper for further details. More information needed. More information needed. More information needed. The model is pre-trained on the Colossal Clean Crawled Corpus (C4), which was developed and released in the context of the same research paper as T5. The model was pre-trained on a on a multi-task mixture of unsupervised (1.) and supervised tasks (2.). Thereby, the following datasets were being used for (1.) and (2.): In their abstract, the model developers write: The framework introduced, the T5 framework, involves a training procedure that brings together the approaches studied in the paper. See the research paper for further…
Read the full model card ↗ · Preview checked 2026-10-27T22:28:50.902Z
Inside the original model card — Document outline
- Model Card for T5 Small
- Table of Contents
- Model Details
- Model Description
- Uses
- Direct Use and Downstream Use
- Out-of-Scope Use
- Bias, Risks, and Limitations
- Recommendations
- Training Details
- Training Data
- Training Procedure
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
google-t5/t5-small is a translation model repository published by google-t5 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
- translation
- Library
- transformers
- Recent downloads (30 days)
- 23,978,844
- Cumulative likes
- 687
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 60,506,880
- Architecture
- T5ForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2022-03-02T23:29:04.000Z
- Last modified
- 2023-06-30T02:31:26.000Z
Compatibility and lineage
Reported languages: en, fr, ro, de, 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 2026-11-01T06:54:35.191Z. 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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