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
File size: 429 Bytes
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{
"idx": 0,
"name": "0",
"path": "",
"type": "sentence_transformers.base.modules.transformer.Transformer"
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{
"idx": 1,
"name": "1",
"path": "1_Pooling",
"type": "sentence_transformers.sentence_transformer.modules.pooling.Pooling"
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{
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