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

simecek
/
DNADebertaK6f

Fill-Mask
Transformers
PyTorch
deberta
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use simecek/DNADebertaK6f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use simecek/DNADebertaK6f with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="simecek/DNADebertaK6f")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("simecek/DNADebertaK6f")
    model = AutoModelForMaskedLM.from_pretrained("simecek/DNADebertaK6f")
  • Notebooks
  • Google Colab
  • Kaggle
DNADebertaK6f
187 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 123 commits
simecek's picture
simecek
update model card README.md
f95ec6e about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 100000 about 3 years ago
  • README.md
    7.91 kB
    update model card README.md about 3 years ago
  • config.json
    704 Bytes
    Training in progress, step 100000 about 3 years ago
  • pytorch_model.bin
    187 MB
    xet
    End of training about 3 years ago
  • training_args.bin
    3.58 kB
    xet
    Training in progress, step 9900000 about 3 years ago