Transformers
PyTorch
Arabic
English
t5
text2text-generation
T5
mT5
Transformers
text-generation-inference
Instructions to use ArabicNLP/mT5-base_ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArabicNLP/mT5-base_ar with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ArabicNLP/mT5-base_ar") model = AutoModelForSeq2SeqLM.from_pretrained("ArabicNLP/mT5-base_ar") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49eda79b39912d862e3ff652d3c7c8b5e17ffba5f2045670d3285eebc08ebbcd
- Size of remote file:
- 977 MB
- SHA256:
- 2bafaee008d32cb9fd4eaff1f3f1e856a868ca326556eb1ff303d2f5b8a68947
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