Sentence Similarity
sentence-transformers
PyTorch
Safetensors
Transformers
Russian
English
roberta
feature-extraction
russian
fill-mask
pretraining
embeddings
masked-lm
tiny
text-embeddings-inference
Instructions to use mlsa-iai-msu-lab/sci-rus-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use mlsa-iai-msu-lab/sci-rus-tiny with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mlsa-iai-msu-lab/sci-rus-tiny") 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] - Transformers
How to use mlsa-iai-msu-lab/sci-rus-tiny with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mlsa-iai-msu-lab/sci-rus-tiny") model = AutoModel.from_pretrained("mlsa-iai-msu-lab/sci-rus-tiny", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): c627a80
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config.json
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"_name_or_path": "mlsa-iai-msu-lab/sci-rus-tiny",
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