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

Rachneet
/
bert-onnx

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

Instructions to use Rachneet/bert-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Rachneet/bert-onnx with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Rachneet/bert-onnx")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("Rachneet/bert-onnx")
    model = AutoModelForMaskedLM.from_pretrained("Rachneet/bert-onnx")
  • Notebooks
  • Google Colab
  • Kaggle
bert-onnx
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Rachneet's picture
Rachneet
chore: upload model config
af0223c over 3 years ago
  • .gitattributes
    1.43 kB
    initial commit over 3 years ago
  • config.json
    636 Bytes
    chore: upload model config over 3 years ago
  • model.onnx
    433 MB
    xet
    Initial commit over 3 years ago
  • special_tokens_map.json
    112 Bytes
    Initial commit over 3 years ago
  • tokenizer.json
    711 kB
    Initial commit over 3 years ago
  • tokenizer_config.json
    321 Bytes
    Initial commit over 3 years ago
  • vocab.txt
    232 kB
    Initial commit over 3 years ago