Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

oumaimansir
/
cv-matcher-finetuned

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:500
loss:CosineSimilarityLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use oumaimansir/cv-matcher-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use oumaimansir/cv-matcher-finetuned with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("oumaimansir/cv-matcher-finetuned")
    
    sentences = [
        "Name: Rohan Dubey || Email: rohan.dubey37@gmail.com | Phone: +91-7934168821 | LinkedIn: linkedin.com/in/rohan-dubey8 || Location: Kolkata, India | Open to: Remote / Hybrid || --- || PROFESSIONAL SUMMARY || Enterprise sales professional with 10 years at CRED selling Consul solutions to C-suite buyers. Built and managed pipeline of ₹20Cr+ across 8 industry verticals. || --- || SKILLS || Ansible, FluxCD, Vault, Consul, Terraform, ArgoCD, Istio || --- || WORK EXPERIENCE || Account Executive | CRED | Kolkata | 2014 – Present || • Won ₹27Cr competitive deal against Salesforce through ROI-focused proposal and exec-level relationship || • Built greenfield territory from ₹0 to ₹26Cr ARR in 17 months through Ansible and strategic prospecting || • Expanded 11 existing accounts through upselling, generating ₹5Cr incremental ARR || --- || Junior Account Executive | Capgemini | Kolkata | 2011 – 2013 || • Reduced sales cycle from 64 to 16 days by implementing Vault and improving demo-to-close ratio by 14% || • Closed ₹19Cr ARR in FY25, exceeding annual quota by 45% and ranking #8 in team of 28 || --- || EDUCATION || MBA in International Business | BITS Pilani Hyderabad | 2011 | CGPA: 9.4 || --- || CERTIFICATIONS || Google Professional Data Engineer",
        "Job Title: Computer Vision Engineer || Company: PwC | Location: Kolkata / Remote | Type: Full-Time || Experience: 8+ years | Salary: ₹27–54 LPA || Team Size: ~14 | Interview Rounds: 6 || --- || ABOUT THE ROLE || We are looking for a passionate Computer Vision Engineer to join our Data Science team at PwC. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. || --- || RESPONSIBILITIES || • Design and run rigorous a/b and multi-armed bandit experiments || • Build end-to-end ml pipelines from data ingestion to model deployment and monitoring || • Develop and maintain data pipelines using a/b testing and xgboost || • Work closely with data engineering to ensure data quality and feature availability || • Translate complex model outputs into actionable business insights for non-technical stakeholders || --- || REQUIRED SKILLS: XGBoost, NLP, Computer Vision, Hive, Power BI, Hadoop, A/B Testing, MLflow || NICE TO HAVE: Kafka, TensorFlow, Tableau || --- || PERKS: Gym membership, MacBook Pro, Health & dental insurance, Maternity/paternity leave, Flexible work hours, Remote-first culture || Domain: Data Science",
        "Job Title: Brand Manager || Company: Atlassian | Location: Gurgaon / Remote | Type: Full-Time || Experience: 6+ years | Salary: ₹14–41 LPA || Team Size: ~8 | Interview Rounds: 3 || --- || ABOUT THE ROLE || We are looking for a passionate Brand Manager to join our Marketing team at Atlassian. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. || --- || RESPONSIBILITIES || • Develop and execute email marketing campaigns with segmentation and personalisation || • Manage performance marketing budgets and optimise for cac, roas, and ltv || • Drive seo strategy including technical audits, content planning, and link building || • Identify and test new growth channels through rapid experimentation || • Analyse campaign performance using crm and present insights to leadership || --- || REQUIRED SKILLS: Social Media, Conversion Rate Optimisation, CRM, Community Management, Growth Hacking, SEO || NICE TO HAVE: HubSpot, Google Analytics, Affiliate Marketing || --- || PERKS: Health & dental insurance, Remote-first culture, Gym membership, ₹50K learning budget, Mental health support, Annual performance bonus || Domain: Marketing",
        "Job Title: Content Strategist || Company: Groww | Location: Jaipur / Remote | Type: Full-Time || Experience: 9+ years | Salary: ₹23–55 LPA || Team Size: ~17 | Interview Rounds: 4 || --- || ABOUT THE ROLE || We are looking for a passionate Content Strategist to join our Marketing team at Groww. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. || --- || RESPONSIBILITIES || • Manage performance marketing budgets and optimise for cac, roas, and ltv || • Identify and test new growth channels through rapid experimentation || • Drive seo strategy including technical audits, content planning, and link building || • Build and manage relationships with agencies, platforms, and influencer partners || • Analyse campaign performance using hubspot and present insights to leadership || --- || REQUIRED SKILLS: Email Marketing, HubSpot, Adobe Suite, Influencer Marketing, LinkedIn Ads, Affiliate Marketing, Google Ads, PPC, Meta Ads, Content Marketing || NICE TO HAVE: Copywriting, Programmatic Advertising, PR || --- || PERKS: Maternity/paternity leave, Flexible work hours, Quarterly offsites, Free meals, Remote-first culture || Domain: Marketing"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
cv-matcher-finetuned
91.6 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
oumaimansir's picture
oumaimansir
Upload folder using huggingface_hub
33bb541 verified 2 months ago
  • 1_Pooling
    Upload folder using huggingface_hub 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    50.1 kB
    Upload folder using huggingface_hub 2 months ago
  • config.json
    776 Bytes
    Upload folder using huggingface_hub 2 months ago
  • config_sentence_transformers.json
    295 Bytes
    Upload folder using huggingface_hub 2 months ago
  • model.safetensors
    90.9 MB
    xet
    Upload folder using huggingface_hub 2 months ago
  • modules.json
    448 Bytes
    Upload folder using huggingface_hub 2 months ago
  • sentence_bert_config.json
    250 Bytes
    Upload folder using huggingface_hub 2 months ago
  • tokenizer.json
    712 kB
    Upload folder using huggingface_hub 2 months ago
  • tokenizer_config.json
    618 Bytes
    Upload folder using huggingface_hub 2 months ago