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

mk9165
/
mk-bert-sentiment-classification

Text Classification
Transformers
PyTorch
TensorBoard
bert
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use mk9165/mk-bert-sentiment-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mk9165/mk-bert-sentiment-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mk9165/mk-bert-sentiment-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mk9165/mk-bert-sentiment-classification")
    model = AutoModelForSequenceClassification.from_pretrained("mk9165/mk-bert-sentiment-classification")
  • Notebooks
  • Google Colab
  • Kaggle
mk-bert-sentiment-classification / runs
21.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
mk9165's picture
mk9165
Training in progress, step 11000
fb8fced over 3 years ago
  • Feb07_04-50-15_695f4d9c1cfa
    Training in progress, step 1500 over 3 years ago
  • Feb07_04-52-20_695f4d9c1cfa
    Training in progress, step 11000 over 3 years ago