Transformers
PyTorch
JAX
TensorBoard
Safetensors
Yoruba
t5
text2text-generation
text-generation-inference
Instructions to use Davlan/oyo-mt-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/oyo-mt-t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Davlan/oyo-mt-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("Davlan/oyo-mt-t5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 819f5ad511b654721f85770b935ef459762f78206cc0e73ef58ae2a319e017bb
- Size of remote file:
- 1.22 GB
- SHA256:
- e8b1d6c4379e24f21d7c6a0236762698a018fd422e43734182ea2ede1a898298
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