Sentence Similarity
sentence-transformers
Safetensors
Russian
bert
feature-extraction
triplet-loss
domain-adaptation
text-embeddings-inference
Instructions to use F1ow421/all-MiniLM-L6-v2-ru-hnp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use F1ow421/all-MiniLM-L6-v2-ru-hnp with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("F1ow421/all-MiniLM-L6-v2-ru-hnp") 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] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1d4f33a470d055536ecf3d23bb065d8ec2e66aa9f627a1684af35b3ef9d8d45
- Size of remote file:
- 90.9 MB
- SHA256:
- b62da745e30419cc616b91fb1dcc7de2d1329244a462f0634e46190ca941317d
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