Transformers
PyTorch
TensorFlow
Arabic
t5
Arabic T5
MSA
Twitter
Arabic Dialect
Arabic Machine Translation
Arabic Text Summarization
Arabic News Title and Question Generation
Arabic Paraphrasing and Transliteration
Arabic Code-Switched Translation
text-generation-inference
Instructions to use UBC-NLP/AraT5-tweet-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UBC-NLP/AraT5-tweet-small with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("UBC-NLP/AraT5-tweet-small", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ea3b13f648dc973229ee5045c66a7f6f4d55a3409ec4924a5fb0c4c8bd76f89
- Size of remote file:
- 453 MB
- SHA256:
- 0b8827976ec0bdd2a037e74eb946edbcee20088c39c1e8aed47eb40a1aa0a0aa
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