Instructions to use google/mt5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/mt5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/mt5-large") model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-large") - Notebooks
- Google Colab
- Kaggle
Loïck BOURDOIS commited on
Commit ·
fec3088
1
Parent(s): 9c59096
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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---
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language:
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datasets:
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- mc4
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---
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language:
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- multilingual
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- af
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- am
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- ar
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- az
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- be
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- bg
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- bn
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- ca
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- ceb
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- co
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- cs
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- cy
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- da
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- de
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- el
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- en
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- eo
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- es
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- et
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- eu
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- fa
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- fi
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- fil
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- fr
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- fy
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- ga
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- gd
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- gl
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- gu
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- ha
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- haw
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- hi
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- hmn
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- ht
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- hu
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- hy
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- ig
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- is
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- it
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- iw
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- ja
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- jv
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- ka
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- kk
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- km
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- kn
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- ko
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- ku
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- ky
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- la
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- lb
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- lo
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- lt
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- lv
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- mg
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- mi
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- mk
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- ml
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- mn
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- mr
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- ms
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- mt
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- my
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- ne
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- nl
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- no
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- ny
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- pa
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- pl
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- ps
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- pt
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- ro
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- ru
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- sd
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- si
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- sk
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- sl
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- sm
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- sn
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- so
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- sq
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- sr
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- st
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- su
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- sw
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- ta
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- te
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- tg
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- th
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- tr
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- uk
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- und
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- ur
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- uz
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- vi
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- xh
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- yi
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- yo
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- zh
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- zu
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datasets:
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- mc4
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