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geologist387
/
BERTA-transformed

Sentence Similarity
sentence-transformers
ONNX
Transformers
Russian
English
russian
pretraining
embeddings
feature-extraction
Model card Files Files and versions
xet
Community

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
BERTA-transformed
517 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
Oleg
Monor improvement
7982df2 4 months ago
  • onnx
    Initial commit - transformed model to onnx format 4 months ago
  • .gitattributes
    1.65 kB
    Initial commit - transformed model to onnx format 4 months ago
  • .gitignore
    122 Bytes
    Initial commit - transformed model to onnx format 4 months ago
  • README.md
    11.6 kB
    Initial commit - transformed model to onnx format 4 months ago
  • pyproject.toml
    599 Bytes
    Initial commit - transformed model to onnx format 4 months ago
  • safetensors_to_onnx.ipynb
    7.74 kB
    Monor improvement 4 months ago
  • safetensors_to_onnx.py
    4.92 kB
    Initial commit - transformed model to onnx format 4 months ago