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:
- fa615772f675ca9400961cc78c79f2f14e9d41a37a2884746c47f942c94fb5a4
- Size of remote file:
- 5.91 kB
- SHA256:
- f1601b314242dc2f5df4ece94f91495c1e2a376aaa911ad9b7d9cb25b4802bf8
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