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

daze-unlv
/
facebook-data2vec-text-base

Multiple Choice
Transformers
TensorBoard
Safetensors
data2vec-text
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use daze-unlv/facebook-data2vec-text-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use daze-unlv/facebook-data2vec-text-base with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultipleChoice
    
    tokenizer = AutoTokenizer.from_pretrained("daze-unlv/facebook-data2vec-text-base")
    model = AutoModelForMultipleChoice.from_pretrained("daze-unlv/facebook-data2vec-text-base")
  • Notebooks
  • Google Colab
  • Kaggle
facebook-data2vec-text-base / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
daze-unlv's picture
daze-unlv
Training in progress, epoch 3
1480f4c verified about 2 years ago
  • Mar12_17-05-20_cehsc-app-001.ad.unlv.edu
    Training in progress, epoch 3 about 2 years ago