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

  • Log In
  • Sign Up

MarioPenguin
/
finetuned-model

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

Instructions to use MarioPenguin/finetuned-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MarioPenguin/finetuned-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="MarioPenguin/finetuned-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("MarioPenguin/finetuned-model")
    model = AutoModelForSequenceClassification.from_pretrained("MarioPenguin/finetuned-model")
  • Notebooks
  • Google Colab
  • Kaggle
finetuned-model / runs
38.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
MarioPenguin's picture
MarioPenguin
Model save
073e103 over 4 years ago
  • Jan27_13-10-58_c292bc4e056a
    Training in progress, step 500 over 4 years ago
  • Jan27_13-37-14_c292bc4e056a
    Training in progress, step 500 over 4 years ago
  • Jan28_15-42-50_f4b0311572b9
    finetuned-model over 4 years ago
  • Jan29_10-59-12_d01eea5e2b8f
    Model save over 4 years ago