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

Butsushi
/
results

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use Butsushi/results with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Butsushi/results")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Butsushi/results")
    model = AutoModelForSequenceClassification.from_pretrained("Butsushi/results")
  • Notebooks
  • Google Colab
  • Kaggle
results / runs
32.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Butsushi's picture
Butsushi
suicidal_classifer
ae4b0be verified over 1 year ago
  • Nov11_18-44-19_70e8903556eb
    imdb_text_classification over 1 year ago
  • Nov11_19-00-12_70e8903556eb
    imdb_text_classification over 1 year ago
  • Nov11_19-01-44_70e8903556eb
    imdb_text_classification over 1 year ago
  • Nov12_02-57-41_b9628a3aae23
    suicidal_classifer over 1 year ago
  • Oct21_23-45-08_cf4540768754
    imdb_text_classification over 1 year ago