google / mt5-base

huggingface.co
Total runs: 116.1K
24-hour runs: 7.8K
7-day runs: 15.4K
30-day runs: 25.9K
Model's Last Updated: 2023年1月25日
text2text-generation

Introduction of mt5-base

Model Details of mt5-base

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-base on huggingface.co

116.1K
Total runs
7.8K
24-hour runs
12.2K
3-day runs
15.4K
7-day runs
25.9K
30-day runs

More Information About mt5-base huggingface.co Model

More mt5-base license Visit here:

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

mt5-base huggingface.co

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

mt5-base huggingface.co Url

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

google mt5-base online free

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

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

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

mt5-base install

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

mt5-base install url in huggingface.co:

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

Url of mt5-base

mt5-base huggingface.co Url

Provider of mt5-base huggingface.co

google
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