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-msa-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UBC-NLP/AraT5-msa-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("UBC-NLP/AraT5-msa-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from UBC-NLP/AraT5-msa-small: direct link, hf CLI and curl.
- Browser
- Download file 81 Bytes
-
https://huggingface.co/UBC-NLP/AraT5-msa-small/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://UBC-NLP/AraT5-msa-small/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/UBC-NLP/AraT5-msa-small/resolve/main/tokenizer_config.json
81 Bytes
| {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 0} |