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NovaSearch
/
stella_en_400M_v5

Sentence Similarity
sentence-transformers
PyTorch
Safetensors
Transformers
new
feature-extraction
mteb
custom_code
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
33

Instructions to use NovaSearch/stella_en_400M_v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use NovaSearch/stella_en_400M_v5 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("NovaSearch/stella_en_400M_v5", trust_remote_code=True)
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Transformers

    How to use NovaSearch/stella_en_400M_v5 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("NovaSearch/stella_en_400M_v5", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
stella_en_400M_v5 / 2_Dense
67.2 MB
Ctrl+K
Ctrl+K
  • 6 contributors
History: 2 commits
infgrad's picture
infgrad
Adding `safetensors` variant of this model (#2)
a423a5f verified about 2 years ago
  • config.json
    122 Bytes
    Upload 17 files about 2 years ago
  • model.safetensors
    33.6 MB
    xet
    Adding `safetensors` variant of this model (#2) about 2 years ago
  • pytorch_model.bin
    33.6 MB
    xet
    Upload 17 files about 2 years ago