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

bdpc
/
test_twowayloss_implementation

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use bdpc/test_twowayloss_implementation with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="bdpc/test_twowayloss_implementation")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("bdpc/test_twowayloss_implementation")
    model = AutoModelForSequenceClassification.from_pretrained("bdpc/test_twowayloss_implementation")
  • Notebooks
  • Google Colab
  • Kaggle
test_twowayloss_implementation
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
bdpc's picture
bdpc
Saving best model of test_twowayloss_implementation to hub
84e9cc6 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.74 kB
    Saving best model of test_twowayloss_implementation to hub over 2 years ago
  • all_results.json
    164 Bytes
    Saving best model of test_twowayloss_implementation to hub over 2 years ago
  • config.json
    7.91 kB
    Saving best model of test_twowayloss_implementation to hub over 2 years ago
  • pytorch_model.bin
    439 MB
    xet
    Saving best model of test_twowayloss_implementation to hub over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Saving best model of test_twowayloss_implementation to hub over 2 years ago
  • tokenizer.json
    712 kB
    Saving best model of test_twowayloss_implementation to hub over 2 years ago
  • tokenizer_config.json
    1.19 kB
    Saving best model of test_twowayloss_implementation to hub over 2 years ago
  • train_results.json
    164 Bytes
    Saving best model of test_twowayloss_implementation to hub over 2 years ago
  • training_args.bin
    4.16 kB
    xet
    Saving best model of test_twowayloss_implementation to hub over 2 years ago
  • vocab.txt
    232 kB
    Saving best model of test_twowayloss_implementation to hub over 2 years ago