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

suhaeng
/
model_output

Text Classification
Transformers
TensorBoard
Safetensors
bert
suhaeng
10class
multi_labels
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use suhaeng/model_output with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="suhaeng/model_output")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("suhaeng/model_output")
    model = AutoModelForSequenceClassification.from_pretrained("suhaeng/model_output")
  • Notebooks
  • Google Colab
  • Kaggle
model_output / runs
16.6 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
suhaeng's picture
suhaeng
suhaeng
64c957a verified over 1 year ago
  • Oct08_07-40-54_dcfda8c03d38
    suhaeng over 1 year ago
  • Oct10_00-45-50_69e6911a98cc
    suhaeng over 1 year ago