Instructions to use leafxyz/main_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use leafxyz/main_v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("leafxyz/main_v1") 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
| { | |
| "architecture": "Bi-Encoder", | |
| "loss_function": "MultipleNegativesRankingLoss", | |
| "step": 500, | |
| "dataset_repository": "leafxyz/arabic-retrieval-mixture-v2", | |
| "metrics": { | |
| "training_loss": 0.177432, | |
| "positives_loss": 0.111283, | |
| "pairs_with_negatives_loss": 0.330405 | |
| } | |
| } |