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
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

NhatPham
/
secretModel

Text Classification
Transformers
PyTorch
English
distilbert
emotion
endpoints-template
Model card Files Files and versions
xet
Community
1

Instructions to use NhatPham/secretModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NhatPham/secretModel with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="NhatPham/secretModel")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("NhatPham/secretModel")
    model = AutoModelForSequenceClassification.from_pretrained("NhatPham/secretModel")
  • Notebooks
  • Google Colab
  • Kaggle
secretModel / __pycache__
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
NhatPham's picture
NhatPham
Initial commit
613badd about 2 years ago
  • pipeline.cpython-310.pyc
    1.18 kB
    Initial commit about 2 years ago