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

cedomin
/
Task1a

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

Instructions to use cedomin/Task1a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cedomin/Task1a with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="cedomin/Task1a")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("cedomin/Task1a")
    model = AutoModelForSequenceClassification.from_pretrained("cedomin/Task1a")
  • Notebooks
  • Google Colab
  • Kaggle
Task1a
269 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
cedomin's picture
cedomin
update model card README.md
51c88dd about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Training complete about 3 years ago
  • README.md
    1.89 kB
    update model card README.md about 3 years ago
  • config.json
    615 Bytes
    Training complete about 3 years ago
  • pytorch_model.bin
    268 MB
    xet
    Training complete about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Training complete about 3 years ago
  • tokenizer.json
    712 kB
    Training complete about 3 years ago
  • tokenizer_config.json
    315 Bytes
    Training complete about 3 years ago
  • training_args.bin
    3.52 kB
    xet
    Training complete about 3 years ago
  • vocab.txt
    232 kB
    Training complete about 3 years ago