google / mt5-small

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Total runs: 127.0K
24-hour runs: 619
7-day runs: 5.1K
30-day runs: 9.9K
Model's Last Updated: September 18 2023
text2text-generation

Introduction of mt5-small

Model Details of mt5-small

Google's mT5

mT5 is pretrained on the mC4 corpus, covering 101 languages:

Afrikaans, Albanian, Amharic, Arabic, Armenian, Azerbaijani, Basque, Belarusian, Bengali, Bulgarian, Burmese, Catalan, Cebuano, Chichewa, Chinese, Corsican, Czech, Danish, Dutch, English, Esperanto, Estonian, Filipino, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Haitian Creole, Hausa, Hawaiian, Hebrew, Hindi, Hmong, Hungarian, Icelandic, Igbo, Indonesian, Irish, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Korean, Kurdish, Kyrgyz, Lao, Latin, Latvian, Lithuanian, Luxembourgish, Macedonian, Malagasy, Malay, Malayalam, Maltese, Maori, Marathi, Mongolian, Nepali, Norwegian, Pashto, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Samoan, Scottish Gaelic, Serbian, Shona, Sindhi, Sinhala, Slovak, Slovenian, Somali, Sotho, Spanish, Sundanese, Swahili, Swedish, Tajik, Tamil, Telugu, Thai, Turkish, Ukrainian, Urdu, Uzbek, Vietnamese, Welsh, West Frisian, Xhosa, Yiddish, Yoruba, Zulu.

Note : mT5 was only pre-trained on mC4 excluding any supervised training. Therefore, this model has to be fine-tuned before it is useable on a downstream task.

Pretraining Dataset: mC4

Other Community Checkpoints: here

Paper: mT5: A massively multilingual pre-trained text-to-text transformer

Authors: Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, Colin Raffel

Abstract

The recent "Text-to-Text Transfer Transformer" (T5) leveraged a unified text-to-text format and scale to attain state-of-the-art results on a wide variety of English-language NLP tasks. In this paper, we introduce mT5, a multilingual variant of T5 that was pre-trained on a new Common Crawl-based dataset covering 101 languages. We describe the design and modified training of mT5 and demonstrate its state-of-the-art performance on many multilingual benchmarks. All of the code and model checkpoints used in this work are publicly available.

Runs of google mt5-small on huggingface.co

127.0K
Total runs
619
24-hour runs
-2.2K
3-day runs
5.1K
7-day runs
9.9K
30-day runs

More Information About mt5-small huggingface.co Model

More mt5-small license Visit here:

https://choosealicense.com/licenses/apache-2.0

mt5-small huggingface.co

mt5-small huggingface.co is an AI model on huggingface.co that provides mt5-small's model effect (), which can be used instantly with this google mt5-small model. huggingface.co supports a free trial of the mt5-small model, and also provides paid use of the mt5-small. Support call mt5-small model through api, including Node.js, Python, http.

mt5-small huggingface.co Url

https://huggingface.co/google/mt5-small

google mt5-small online free

mt5-small huggingface.co is an online trial and call api platform, which integrates mt5-small's modeling effects, including api services, and provides a free online trial of mt5-small, you can try mt5-small online for free by clicking the link below.

google mt5-small online free url in huggingface.co:

https://huggingface.co/google/mt5-small

mt5-small install

mt5-small is an open source model from GitHub that offers a free installation service, and any user can find mt5-small on GitHub to install. At the same time, huggingface.co provides the effect of mt5-small install, users can directly use mt5-small installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

mt5-small install url in huggingface.co:

https://huggingface.co/google/mt5-small

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mt5-small huggingface.co Url

Provider of mt5-small huggingface.co

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