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
File size: 288 Bytes
608758f | 1 2 3 4 5 6 7 8 9 10 11 | {
"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
}
} |