Instructions to use deepvk/USER-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use deepvk/USER-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("deepvk/USER-base") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61f4ff3f6c195811c89a874854dcf408162840967417d0c00823cb91632bf367
- Size of remote file:
- 496 MB
- SHA256:
- f4c56eb54eecc47a8274ca8b09bcdf834b0c7b5d15f27d4e8fe32b7218f3c6bd
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