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

Vlasta
/
randomWeightsBert

Fill-Mask
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Vlasta/randomWeightsBert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Vlasta/randomWeightsBert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("Vlasta/randomWeightsBert")
    model = AutoModelForMaskedLM.from_pretrained("Vlasta/randomWeightsBert")
  • Notebooks
  • Google Colab
  • Kaggle
randomWeightsBert
357 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Vlasta's picture
Vlasta
add model
9153a68 almost 4 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • config.json
    791 Bytes
    add model almost 4 years ago
  • pytorch_model.bin
    357 MB
    xet
    add model almost 4 years ago