Instructions to use facebook/mbart-large-50-many-to-one-mmt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mbart-large-50-many-to-one-mmt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/mbart-large-50-many-to-one-mmt") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/mbart-large-50-many-to-one-mmt") - Notebooks
- Google Colab
- Kaggle
Loïck BOURDOIS commited on
Commit ·
ac2d7ef
1
Parent(s): 085a140
Update README.md
Browse filesTo help with the referencing of the dataset by indicating the languages included in the multilingual model, only the xx language tags are listed here because they are the only currently taken into account by HF (not the xx-XX)
README.md
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language:
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tags:
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- mbart-50
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---
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language:
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- multilingual
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- ar
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- cs
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- de
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- en
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- es
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- et
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- fi
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- fr
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- gu
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- hi
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- it
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- ja
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- kk
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- ko
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- lt
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- lv
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- my
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- ne
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- nl
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- ro
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- ru
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- si
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- tr
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- vi
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- zh
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- af
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- az
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- bn
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- fa
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- he
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- hr
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- id
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- ka
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- km
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- mk
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- ml
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- mn
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- mr
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- pl
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- ps
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- pt
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- sv
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- sw
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- ta
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- te
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- th
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- tl
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- uk
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- ur
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- xh
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- gl
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- sl
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tags:
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- mbart-50
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---
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