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:
- 82820c9bb7cf577894de2ffb77dda35ac604fb67038a980e3f8ea51ff2ec9395
- Size of remote file:
- 16.3 MB
- SHA256:
- 65c2d7defb6472fada8a935bb364ae3433f7451780c8a59ab6b3cfbaadb32608
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