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

dongbobo
/
imagenet

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

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

  • Libraries
  • Transformers

    How to use dongbobo/imagenet with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="dongbobo/imagenet")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("dongbobo/imagenet")
    model = AutoModel.from_pretrained("dongbobo/imagenet", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
imagenet
10.4 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
dongbobo's picture
dongbobo
Release best checkpoint (step_1000) with benchmark scores in model card
10f1d4d verified about 21 hours ago
  • figures
    Release best checkpoint (step_1000) with benchmark scores in model card about 21 hours ago
  • .gitattributes
    1.52 kB
    initial commit about 21 hours ago
  • README.md
    7.53 kB
    Release best checkpoint (step_1000) with benchmark scores in model card about 21 hours ago
  • config.json
    66 Bytes
    Release best checkpoint (step_1000) with benchmark scores in model card about 21 hours ago
  • pytorch_model.bin

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    23 Bytes
    xet
    Release best checkpoint (step_1000) with benchmark scores in model card about 21 hours ago