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oristides
/
foundational-model

Text Retrieval
sentence-transformers
PyTorch
Safetensors
Portuguese
multilingual
recommenders
product-recommendation
Model card Files Files and versions
xet
Community

Instructions to use oristides/foundational-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use oristides/foundational-model with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("oristides/foundational-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
foundational-model
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
oristides's picture
oristides
Upload model.safetensors with huggingface_hub
0eb0ebd verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    2.3 kB
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  • model.safetensors
    1.41 GB
    xet
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    471 MB
    xet
    Upload pytorch_model.bin with huggingface_hub 2 months ago