Transformers
TensorBoard
Safetensors
Shona
mt5
text2text-generation
shona
african-languages
low-resource-nlp
language-model
Generated from Trainer
zimbabwe
Instructions to use mathiaskabango/shona-mt5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mathiaskabango/shona-mt5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mathiaskabango/shona-mt5-small") model = AutoModelForSeq2SeqLM.from_pretrained("mathiaskabango/shona-mt5-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e014fc644c17ceafb530dcbdb2b4f99ac49de1cfddf963448275df9f4b091cde
- Size of remote file:
- 4.31 MB
- SHA256:
- ef78f86560d809067d12bac6c09f19a462cb3af3f54d2b8acbba26e1433125d6
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