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

Wouze
/
laya-ara

Text Classification
Transformers
Safetensors
Laya
Arabic
modernbert
feature-extraction
arabic
nlu
intent-classification
natural-language-inference
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Wouze/laya-ara with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Wouze/laya-ara with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Wouze/laya-ara", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Wouze/laya-ara", trust_remote_code=True)
    model = AutoModel.from_pretrained("Wouze/laya-ara", trust_remote_code=True, device_map="auto")
  • Laya

    How to use Wouze/laya-ara with Laya:

    # No code snippets available yet for this library.
    
    # To use this model, check the repository files and the library's documentation.
    
    # Want to help? PRs adding snippets are welcome at:
    # https://github.com/huggingface/huggingface.js
  • Notebooks
  • Google Colab
  • Kaggle
laya-ara / examples
3.04 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Wouze's picture
Wouze
Print the Colab example as labeled percentages.
c2a0118 verified 17 days ago
  • colab_nlu.ipynb
    1.63 kB
    Print the Colab example as labeled percentages. 17 days ago
  • predict_triage.py
    1.41 kB
    Public release: clean card 19 days ago