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hotchpotch
/
bekko-static-embedding-v1

Sentence Similarity
sentence-transformers
ONNX
Safetensors
OpenVINO
static-embedding
embeddings
feature-extraction
matryoshka
retrieval
Model card Files Files and versions
xet
Community

Instructions to use hotchpotch/bekko-static-embedding-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use hotchpotch/bekko-static-embedding-v1 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("hotchpotch/bekko-static-embedding-v1")
    
    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]
  • Notebooks
  • Google Colab
  • Kaggle
bekko-static-embedding-v1 / training_scripts
212 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
hotchpotch's picture
hotchpotch
Add FP16 and INT8 ONNX/OpenVINO variants at all MRL widths
76c3670 verified about 1 month ago
  • README.md
    5.63 kB
    Add FP16 and INT8 ONNX/OpenVINO variants at all MRL widths about 1 month ago
  • bekko-unsupervised-multilingual-40-direct.json
    47.6 kB
    Release multilingual v1 with evaluated FP16 static weights about 1 month ago
  • export_fp16.py
    2.1 kB
    Release multilingual v1 with evaluated FP16 static weights about 1 month ago
  • mnrl-full.yaml
    2.27 kB
    Release multilingual v1 with evaluated FP16 static weights about 1 month ago
  • train_model.py
    139 kB
    Release multilingual v1 with evaluated FP16 static weights about 1 month ago
  • train_tokenizer.py
    16.1 kB
    Release multilingual v1 with evaluated FP16 static weights about 1 month ago