Sentence Similarity
sentence-transformers
Safetensors
Transformers
Russian
bert
feature-extraction
russian
pretraining
embeddings
tiny
mteb
text-embeddings-inference
Instructions to use sergeyzh/rubert-tiny-lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sergeyzh/rubert-tiny-lite with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sergeyzh/rubert-tiny-lite") sentences = [ "Это счастливый человек", "Это счастливая собака", "Это очень счастливый человек", "Сегодня солнечный день" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use sergeyzh/rubert-tiny-lite with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sergeyzh/rubert-tiny-lite") model = AutoModel.from_pretrained("sergeyzh/rubert-tiny-lite") - Notebooks
- Google Colab
- Kaggle
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README.md
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- IlyaGusev/gazeta
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- zloelias/lenta-ru
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- HuggingFaceFW/fineweb-2
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- HuggingFaceFW/fineweb
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license: mit
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- IlyaGusev/gazeta
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- zloelias/lenta-ru
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- HuggingFaceFW/fineweb-2
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license: mit
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