Transformers
PyTorch
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/AraT5v2-base-1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UBC-NLP/AraT5v2-base-1024 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("UBC-NLP/AraT5v2-base-1024", dtype="auto") - Notebooks
- Google Colab
- Kaggle
how to use it for translation
2
#6 opened over 1 year ago
by
hwang136
Adding `safetensors` variant of this model
#5 opened over 1 year ago
by
SFconvertbot
Adding `safetensors` variant of this model
#4 opened about 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#3 opened about 2 years ago
by
SFconvertbot
Inquery about cost related to your LLMs
👍 1
#2 opened over 2 years ago
by
alielfilali01
Adding `safetensors` variant of this model
#1 opened over 2 years ago
by
SFconvertbot