Instructions to use emadbsty/ArT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use emadbsty/ArT5 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("emadbsty/ArT5") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
| datasets: | |
| - wikimedia/structured-wikipedia | |
| language: | |
| - ar | |
| - en | |
| base_model: | |
| - google-t5/t5-base | |
| new_version: Qwen/Qwen3-0.6B | |
| pipeline_tag: question-answering | |
| library_name: sentence-transformers | |