Instructions to use Waqf-AI/arabic-splade-efficient with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Waqf-AI/arabic-splade-efficient with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Waqf-AI/arabic-splade-efficient") 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: 307 Bytes
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{
"idx": 0,
"name": "0",
"path": "",
"type": "sentence_transformers.sparse_encoder.modules.mlm_transformer.MLMTransformer"
},
{
"idx": 1,
"name": "1",
"path": "1_SpladePooling",
"type": "sentence_transformers.sparse_encoder.modules.splade_pooling.SpladePooling"
}
] |