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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ArabicNLP/mT5-base_ar") model = AutoModelForSeq2SeqLM.from_pretrained("ArabicNLP/mT5-base_ar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ArabicNLP/mT5-base_ar: direct link, hf CLI and curl.
- Browser
- Download file 977 MB
-
https://huggingface.co/ArabicNLP/mT5-base_ar/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ArabicNLP/mT5-base_ar/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ArabicNLP/mT5-base_ar/resolve/main/pytorch_model.bin
977 MB
- Xet hash:
- 49eda79b39912d862e3ff652d3c7c8b5e17ffba5f2045670d3285eebc08ebbcd
- Size of remote file:
- 977 MB
- SHA256:
- 2bafaee008d32cb9fd4eaff1f3f1e856a868ca326556eb1ff303d2f5b8a68947
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