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

ljh1
/
hello-custom

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

Instructions to use ljh1/hello-custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ljh1/hello-custom with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ljh1/hello-custom")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ljh1/hello-custom")
    model = AutoModelForSequenceClassification.from_pretrained("ljh1/hello-custom")
  • Notebooks
  • Google Colab
  • Kaggle
  • Fork of bhadresh-savani/distilbert-base-uncased-emotion

Fork of bhadresh-savani/distilbert-base-uncased-emotion

Downloads last month
13
Inference Providers NEW
Text Classification
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Dataset used to train ljh1/hello-custom

dair-ai/emotion

Viewer • Updated Aug 8, 2024 • 437k • 33.8k • 440
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs