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

shashrao54
/
embedding-finetuning-model

Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
Generated from Trainer
dataset_size:8
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use shashrao54/embedding-finetuning-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use shashrao54/embedding-finetuning-model with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("shashrao54/embedding-finetuning-model")
    
    sentences = [
        "Explain conforms in this document.",
        "PHARMA PRODUCT DOSSIER (SYNTHETIC) Product: Amoxycillin Capsules 500 mg Indication: Treatment of bacterial infections (upper respiratory tract, urinary tract). Mechanism of Action: Beta-lactam antibiotic; inhibits bacterial cell wall synthesis. Contraindications: Hypersensitivity to penicillins; history of severe allergy. Warnings: Risk of anaphylaxis; monitor for rash; adjust dose in renal impairment. Dosage & Administration: - Adults: 500 mg every 8 hours. - Renal impairment: dose adjustment required based on creatinine clearance. Adverse Reactions: - Common: nausea, diarrhea, rash. - Serious: anaphylaxis, C. difficile-associated diarrhea (rare). CLINICAL OVERVIEW (SYNTHETIC) Clinical Summary: Efficacy shown in randomized controlled trials for susceptible organisms. Non-inferiority demonstrated versus comparator antibiotics in mild-to-moderate infections. Drug Interactions: - Probenecid increases amoxycillin levels by decreasing renal clearance. - Oral anticoagulants: monitor INR; may increase bleeding risk. Storage & Stability: Store below 25°C. Protect from moisture. Shelf life: 24 months. Quality Attributes: Assay: 95.0% to 105.0% of label claim. Dissolution: NLT 80% in 45 minutes (Q). MANUFACTURING & CMC (SYNTHETIC) Manufacturing Process: Blending -> Encapsulation -> In-process checks -> Packaging. Critical process parameters: blend uniformity, capsule fill weight, moisture control. Specifications: - Identification: conforms to reference standard. - Related substances: within limits. - Microbial limits: complies with pharmacopeial requirements. Packaging: Alu-Alu blister packs; carton labeling includes batch number and expiry date.",
        "Identification: conforms to reference standard. - Related substances: within limits. - Microbial limits: complies with pharmacopeial requirements. Packaging: Alu-Alu blister packs; carton labeling includes batch number and expiry date.",
        "Identification: conforms to reference standard. - Related substances: within limits. - Microbial limits: complies with pharmacopeial requirements. Packaging: Alu-Alu blister packs; carton labeling includes batch number and expiry date."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
embedding-finetuning-model
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
shashrao54's picture
shashrao54
Add new SentenceTransformer model
841f823 verified about 2 months ago
  • 1_Pooling
    Add new SentenceTransformer model about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    17.9 kB
    Add new SentenceTransformer model about 2 months ago
  • config.json
    576 Bytes
    Add new SentenceTransformer model about 2 months ago
  • config_sentence_transformers.json
    284 Bytes
    Add new SentenceTransformer model about 2 months ago
  • model.safetensors
    438 MB
    xet
    Add new SentenceTransformer model about 2 months ago
  • modules.json
    429 Bytes
    Add new SentenceTransformer model about 2 months ago
  • sentence_bert_config.json
    241 Bytes
    Add new SentenceTransformer model about 2 months ago
  • tokenizer.json
    712 kB
    Add new SentenceTransformer model about 2 months ago
  • tokenizer_config.json
    584 Bytes
    Add new SentenceTransformer model about 2 months ago