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chamalbistec
/
fine-tuned-model-resume

Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
Generated from Trainer
dataset_size:55
loss:CosineSimilarityLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use chamalbistec/fine-tuned-model-resume with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use chamalbistec/fine-tuned-model-resume with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("chamalbistec/fine-tuned-model-resume")
    
    sentences = [
        "Continuous Integration",
        "CI/CD",
        "Financial Analysis",
        "UAT"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
fine-tuned-model-resume
Ctrl+K
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  • 1 contributor
History: 3 commits
chamalbistec's picture
chamalbistec
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  • .gitattributes
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  • README.md
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  • config.json
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  • config_sentence_transformers.json
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  • model.safetensors
    438 MB
    xet
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  • modules.json
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  • sentence_bert_config.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.txt
    232 kB
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