Transformers
PyTorch
Safetensors
Arabic
Moroccan Arabic
t5
text2text-generation
text-generation-inference
Instructions to use Kamel/t5-darija-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kamel/t5-darija-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Kamel/t5-darija-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("Kamel/t5-darija-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download MArSum_schema_Color1.png from Kamel/t5-darija-summarization: direct link, hf CLI and curl.
- Browser
- Download file 53.7 kB
-
https://huggingface.co/Kamel/t5-darija-summarization/resolve/main/MArSum_schema_Color1.png
- Command line
-
hf download hf://Kamel/t5-darija-summarization/MArSum_schema_Color1.png
-
curl -L -o MArSum_schema_Color1.png https://huggingface.co/Kamel/t5-darija-summarization/resolve/main/MArSum_schema_Color1.png
53.7 kB
