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NextGenC
/
ChronoSense

Feature Extraction
sentence-transformers
spaCy
English
Turkish
scientific-text-analysis
concept-extraction
network-analysis
natural-language-processing
knowledge-graphs
temporal-analysis
networkx
pyvis
pdf-processing
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use NextGenC/ChronoSense with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("NextGenC/ChronoSense")
    
    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]
  • spaCy

    How to use NextGenC/ChronoSense with spaCy:

    !pip install https://huggingface.co/NextGenC/ChronoSense/resolve/main/ChronoSense-any-py3-none-any.whl
    
    # Using spacy.load().
    import spacy
    nlp = spacy.load("ChronoSense")
    
    # Importing as module.
    import ChronoSense
    nlp = ChronoSense.load()
  • Notebooks
  • Google Colab
  • Kaggle
ChronoSense
8.58 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
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NextGenC
Update README.md
41ea778 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    7.06 kB
    Update README.md about 1 year ago