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

fkrasnov2
/
COLD2

Fill-Mask
Transformers
ONNX
Safetensors
Transformers.js
Russian
deberta-v2
PyTorch
e-commerce
Model card Files Files and versions
xet
Community

Instructions to use fkrasnov2/COLD2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fkrasnov2/COLD2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="fkrasnov2/COLD2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("fkrasnov2/COLD2")
    model = AutoModelForMaskedLM.from_pretrained("fkrasnov2/COLD2")
  • Transformers.js

    How to use fkrasnov2/COLD2 with Transformers.js:

    // npm i @huggingface/transformers
    import { pipeline } from '@huggingface/transformers';
    
    // Allocate pipeline
    const pipe = await pipeline('fill-mask', 'fkrasnov2/COLD2');
  • Notebooks
  • Google Colab
  • Kaggle
COLD2 / onnx
79.9 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
Fedor Krasnov
move onnx to onnx folder
48708dd over 1 year ago
  • model.onnx
    39.9 MB
    xet
    move onnx to onnx folder over 1 year ago
  • model_quantized.onnx
    39.9 MB
    xet
    move onnx to onnx folder over 1 year ago