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

dzaveri
/
albert

Text Classification
Transformers
TensorBoard
Safetensors
electra
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use dzaveri/albert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="dzaveri/albert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("dzaveri/albert")
    model = AutoModelForSequenceClassification.from_pretrained("dzaveri/albert", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
albert / runs
11.4 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
dzaveri's picture
dzaveri
Training in progress, epoch 1
285ad77 verified over 2 years ago
  • Apr09_01-30-17_b8e30f0c7405
    Training in progress, epoch 1 over 2 years ago
  • Apr09_01-34-42_b8e30f0c7405
    Training in progress, epoch 1 over 2 years ago