Transformers
Safetensors
Arabic
t5
text2text-generation
MSA
Arabic Dialect
Text-to-text
text-generation-inference
Instructions to use Murhaf/AraT5-MSAizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Murhaf/AraT5-MSAizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Murhaf/AraT5-MSAizer") model = AutoModelForSeq2SeqLM.from_pretrained("Murhaf/AraT5-MSAizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Murhaf/AraT5-MSAizer: direct link, hf CLI and curl.
- Browser
- Download file 8.4 MB
-
https://huggingface.co/Murhaf/AraT5-MSAizer/resolve/main/tokenizer.json
- Command line
-
hf download hf://Murhaf/AraT5-MSAizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Murhaf/AraT5-MSAizer/resolve/main/tokenizer.json
8.4 MB
File too large to display, you can check the raw version instead.