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mon2hf
/
devops-job-matcher

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:2
loss:CosineSimilarityLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use mon2hf/devops-job-matcher with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use mon2hf/devops-job-matcher with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("mon2hf/devops-job-matcher")
    
    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]
  • Notebooks
  • Google Colab
  • Kaggle
devops-job-matcher
91.6 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
mon2hf's picture
mon2hf
Add new model.
c0fe59b verified about 1 month ago
  • 1_Pooling
    Add new model. about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    9.82 kB
    Add new model. about 1 month ago
  • config.json
    744 Bytes
    Add new model. about 1 month ago
  • config_sentence_transformers.json
    281 Bytes
    Add new model. about 1 month ago
  • model.safetensors
    90.9 MB
    xet
    Add new model. about 1 month ago
  • modules.json
    429 Bytes
    Add new model. about 1 month ago
  • sentence_bert_config.json
    241 Bytes
    Add new model. about 1 month ago
  • tokenizer.json
    712 kB
    Add new model. about 1 month ago
  • tokenizer_config.json
    373 Bytes
    Add new model. about 1 month ago