echarlaix/t5-small-openvino

translation model by echarlaix

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T5 is an encoder-decoder model pre-trained on a multi-task mixture of unsupervised and supervised tasks and for which each task is converted into a text-to-text format. For more information, please take a look at the original paper. Paper: Exploring the Limits of Transfer Learning with a…

echarlaix/t5-small-openvino on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. t5-small exported to the OpenVINO IR.
  2. Model description
  3. Usage example

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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

echarlaix/t5-small-openvino is a translation model repository published by echarlaix 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)
9,114
Cumulative likes
4
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
T5ForConditionalGeneration
License
apache-2.0
Access
Not gated by Hugging Face
Created
2022-08-29T15:49:15.000Z
Last modified
2023-01-03T14:58:52.000Z

Compatibility and lineage

Reported languages: en, fr, ro, de

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 2026-11-01T06:54:35.191Z. Daily imports are snapshots, not real-time monitoring.

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