Sentence Similarity
sentence-transformers
Safetensors
Uzbek
English
bert
feature-extraction
embeddings
uzbek
retrieval
e5
Eval Results (legacy)
text-embeddings-inference
Instructions to use sukhrobnurali/uzbek-e5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sukhrobnurali/uzbek-e5-small with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sukhrobnurali/uzbek-e5-small") 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
- Xet hash:
- 557d6fba93d5dc2f3888563a4ee41e9b4ed18f73881a6882269542a263cc8fd8
- Size of remote file:
- 17.1 MB
- SHA256:
- 7ef60e1b3e8f648ae4a9e1e39d3ade177352d78dbfacf217501461c2cce9af3b
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