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

jacksonargo
/
music-production-qa

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

Instructions to use jacksonargo/music-production-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jacksonargo/music-production-qa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="jacksonargo/music-production-qa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("jacksonargo/music-production-qa")
    model = AutoModelForMaskedLM.from_pretrained("jacksonargo/music-production-qa")
  • Notebooks
  • Google Colab
  • Kaggle
music-production-qa
268 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
jacksonargo's picture
jacksonargo
add model
f6b57cd over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • config.json
    599 Bytes
    add model over 4 years ago
  • pytorch_model.bin
    268 MB
    xet
    add model over 4 years ago