Sentence Similarity
sentence-transformers
ONNX
Transformers
Russian
English
russian
pretraining
embeddings
feature-extraction
Instructions to use geologist387/BERTA-transformed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use geologist387/BERTA-transformed with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("geologist387/BERTA-transformed") 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 geologist387/BERTA-transformed with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("geologist387/BERTA-transformed", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K