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scr17
/
fyp

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:5000
loss:CosineSimilarityLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use scr17/fyp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use scr17/fyp with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("scr17/fyp")
    
    sentences = [
        "looking Product Manager expertise AWS Cybersecurity JavaScript Cloud Architecture candidate responsible designing implementing maintaining solutions using modern technologies",
        "Emily Barry professional skilled JavaScript Machine Learning Kubernetes Computer Vision Experienced working multiple projects involving cloud technologies modern software development practices",
        "Stephen Baker professional skilled React AWS Node.js NLP Experienced working multiple projects involving cloud technologies modern software development practices",
        "James Jackson professional skilled Node.js Cybersecurity Kubernetes Docker Experienced working multiple projects involving cloud technologies modern software development practices"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
fyp
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
scr17's picture
scr17
Upload fine-tuned model
6986cfa about 1 year ago
  • 1_Pooling
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  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    16.9 kB
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  • config.json
    617 Bytes
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  • config_sentence_transformers.json
    205 Bytes
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  • model.safetensors
    90.9 MB
    xet
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  • modules.json
    349 Bytes
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  • sentence_bert_config.json
    53 Bytes
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.46 kB
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  • vocab.txt
    232 kB
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