Transformers
PyTorch
Arabic
mbart
text2text-generation
Summarization
Arabic Headline Dataset
AHS
AraBART
Instructions to use benakrab/AraBART-AHS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use benakrab/AraBART-AHS with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("benakrab/AraBART-AHS") model = AutoModelForSeq2SeqLM.from_pretrained("benakrab/AraBART-AHS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from benakrab/AraBART-AHS: direct link, hf CLI and curl.
- Browser
- Download file 3.78 MB
-
https://huggingface.co/benakrab/AraBART-AHS/resolve/main/tokenizer.json
- Command line
-
hf download hf://benakrab/AraBART-AHS/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/benakrab/AraBART-AHS/resolve/main/tokenizer.json
3.78 MB
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