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

ttech12
/
Ai-detector

Text Classification
Transformers
Safetensors
Spanish
English
deberta-v2
ai-detection
academic-integrity
spanish
english
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use ttech12/Ai-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ttech12/Ai-detector with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ttech12/Ai-detector")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ttech12/Ai-detector")
    model = AutoModelForSequenceClassification.from_pretrained("ttech12/Ai-detector", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Gated model
You can list files but not access them

Preview of files found in this repository
  • .gitattributes
    1.57 kB
    Modelo detector de texto con IA (mDeBERTa-v3 afinado) 13 days ago
  • README.md
    3.61 kB
    Versi贸n de revisi贸n: entrenamiento adversario con DIPPER 6 days ago
  • calibration.json
    311 Bytes
    Calibraci贸n de la versi贸n de revisi贸n 6 days ago
  • config.json
    925 Bytes
    Modelo detector de texto con IA (mDeBERTa-v3 afinado) 13 days ago
  • model.safetensors
    1.12 GB
    xet
    Versi贸n de revisi贸n: entrenamiento adversario con DIPPER 6 days ago
  • tokenizer.json
    16 MB
    xet
    Modelo detector de texto con IA (mDeBERTa-v3 afinado) 13 days ago
  • tokenizer_config.json
    2.93 kB
    Modelo detector de texto con IA (mDeBERTa-v3 afinado) 13 days ago