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

Kami0867
/
MiniLM-L12-Sentiment-Analysis

Text Classification
sentence-transformers
Safetensors
English
bert
sentiment-analysis
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Kami0867/MiniLM-L12-Sentiment-Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Kami0867/MiniLM-L12-Sentiment-Analysis with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("Kami0867/MiniLM-L12-Sentiment-Analysis")
    
    query = "Which planet is known as the Red Planet?"
    passages = [
    	"Venus is often called Earth's twin because of its similar size and proximity.",
    	"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
    	"Jupiter, the largest planet in our solar system, has a prominent red spot.",
    	"Saturn, famous for its rings, is sometimes mistaken for the Red Planet."
    ]
    
    scores = model.predict([(query, passage) for passage in passages])
    print(scores)
  • Notebooks
  • Google Colab
  • Kaggle
MiniLM-L12-Sentiment-Analysis
134 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Kami0867's picture
Kami0867
Create README.md
19ec678 verified 5 days ago
  • .gitattributes
    1.52 kB
    initial commit 8 days ago
  • README.md
    193 Bytes
    Create README.md 5 days ago
  • config.json
    1.01 kB
    Upload folder using huggingface_hub 8 days ago
  • model.safetensors
    133 MB
    xet
    Upload folder using huggingface_hub 8 days ago
  • tokenizer.json
    712 kB
    Upload folder using huggingface_hub 8 days ago
  • tokenizer_config.json
    618 Bytes
    Upload folder using huggingface_hub 8 days ago
  • training_args.bin
    5.2 kB
    xet
    Upload folder using huggingface_hub 8 days ago