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Gyaneshere
/
sbert_mlp_model

Text Classification
sentence-transformers
Safetensors
English
model_hub_mixin
pytorch_model_hub_mixin
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use Gyaneshere/sbert_mlp_model with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Gyaneshere/sbert_mlp_model")
    
    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
sbert_mlp_model
413 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
Gyaneshere's picture
Gyaneshere
updated ReadMe.md
44d5e9e verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    542 Bytes
    updated ReadMe.md about 1 year ago
  • config.json
    22 Bytes
    Push model using huggingface_hub. about 1 year ago
  • model.safetensors
    411 kB
    xet
    Push model using huggingface_hub. about 1 year ago