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dnth
/
ssf-retriever-modernbert-embed-base-v4.2

Sentence Similarity
sentence-transformers
Safetensors
modernbert
feature-extraction
dense
Generated from Trainer
dataset_size:7540
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use dnth/ssf-retriever-modernbert-embed-base-v4.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use dnth/ssf-retriever-modernbert-embed-base-v4.2 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("dnth/ssf-retriever-modernbert-embed-base-v4.2")
    
    sentences = [
        "The Chief Engineer/Senior Engineering Manager (Automatic Fare Collection) leads and facilitates the implementation of Automatic Fare Collection (AFC) maintenance regime within the organisation. He/She works closely with the authorities in implementing new engineering initiatives to enhance the reliability of AFC systems. He demonstrates his technical expertise in providing advice to cross-disciplinary engineering studies. His role also includes the establishment of competency standards and engineering standards to ensure staff are equipped with relevant skills. He excels in operating in a collaborative environment and functions through his understanding of the operational activities, industry developments and regulatory requirements. He maintains a forward-thinking mindset to contribute strategically towards achieving the department's goals.",
        "The Chief Engineer/Senior Engineering Manager (Rail Signalling Systems) manages the maintenance and upgrade schedules for rail signalling infrastructure across the network. He/She partners with transportation authorities to implement new signalling technologies and provides expert guidance on safety and technical protocols. This role focuses on developing and enforcing engineering standards specific to signalling equipment and training personnel accordingly. The manager thrives in a multidisciplinary team environment, using knowledge of signalling operations, regulatory mandates, and emerging technologies to ensure system safety and reliability, while contributing to strategic planning within the transit division.",
        "The Assistant Horticulturist supports the management and nurturing of plant life within the organisation’s attraction sites. This role involves assisting in the upkeep of diverse plant collections and delivering informative presentations to visitors about the flora and conservation efforts. With keen attention to detail and a proactive approach, the Assistant Horticulturist monitors plant health and characteristics, reporting observations accurately. The position requires the ability to work independently or under supervision, includes physical tasks, and involves working on a rotating schedule covering weekends, public holidays, and on-call duties. Extended outdoor work in various weather conditions is expected, and a valid driving licence may be necessary for duties in expansive park areas.",
        "The Chief Engineer/Senior Engineering Manager (Automatic Fare Collection) is responsible for overseeing the deployment and upkeep of the AFC system maintenance program within the organization. This role involves close collaboration with regulatory bodies to introduce innovative engineering solutions aimed at improving AFC system performance and dependability. The incumbent applies deep technical knowledge to support interdisciplinary engineering projects and leads the formulation of competency frameworks and technical standards to ensure team proficiency. Operating effectively in a cooperative setting, the manager leverages insights into operational workflows, industry trends, and compliance standards, adopting a strategic outlook to drive the department's long-term objectives."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
ssf-retriever-modernbert-embed-base-v4.2
600 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
dnth's picture
dnth
Add new SentenceTransformer model
6e22f4d verified 10 months ago
  • 1_Pooling
    Add new SentenceTransformer model 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    67.6 kB
    Add new SentenceTransformer model 10 months ago
  • config.json
    1.21 kB
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  • config_sentence_transformers.json
    283 Bytes
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  • model.safetensors
    596 MB
    xet
    Add new SentenceTransformer model 10 months ago
  • modules.json
    349 Bytes
    Add new SentenceTransformer model 10 months ago
  • sentence_bert_config.json
    58 Bytes
    Add new SentenceTransformer model 10 months ago
  • special_tokens_map.json
    694 Bytes
    Add new SentenceTransformer model 10 months ago
  • tokenizer.json
    3.58 MB
    Add new SentenceTransformer model 10 months ago
  • tokenizer_config.json
    20.8 kB
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