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

SAD12E21
/
MyAwesomeModel

Feature Extraction
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community

Instructions to use SAD12E21/MyAwesomeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SAD12E21/MyAwesomeModel with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="SAD12E21/MyAwesomeModel")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("SAD12E21/MyAwesomeModel")
    model = AutoModel.from_pretrained("SAD12E21/MyAwesomeModel", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MyAwesomeModel / figures
1.23 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
SAD12E21's picture
SAD12E21
Upload best checkpoint (step_1000, highest eval score 0.71)
93f8076 verified about 1 month ago
  • fig1.png
    410 Bytes
    Upload best checkpoint (step_1000, highest eval score 0.71) about 1 month ago
  • fig2.png
    410 Bytes
    Upload best checkpoint (step_1000, highest eval score 0.71) about 1 month ago
  • fig3.png
    410 Bytes
    Upload best checkpoint (step_1000, highest eval score 0.71) about 1 month ago