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djsull
/
sentence-roberta-multitask

Sentence Similarity
sentence-transformers
Safetensors
Transformers
roberta
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use djsull/sentence-roberta-multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use djsull/sentence-roberta-multitask with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("djsull/sentence-roberta-multitask")
    
    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 djsull/sentence-roberta-multitask with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("djsull/sentence-roberta-multitask")
    model = AutoModel.from_pretrained("djsull/sentence-roberta-multitask")
  • Notebooks
  • Google Colab
  • Kaggle
sentence-roberta-multitask / code
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  • 1 contributor
History: 1 commit
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djsull
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649aa1c verified about 2 years ago
  • inference.py
    968 Bytes
    Upload 3 files about 2 years ago
  • requirements.txt
    42 Bytes
    Upload 3 files about 2 years ago