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

Vivek
/
gptneo_cose

Transformers
JAX
TensorBoard
gpt_neo
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use Vivek/gptneo_cose with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultipleChoice
    
    tokenizer = AutoTokenizer.from_pretrained("Vivek/gptneo_cose")
    model = AutoModelForMultipleChoice.from_pretrained("Vivek/gptneo_cose")
  • Notebooks
  • Google Colab
  • Kaggle
gptneo_cose / src
30 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Vivek's picture
Vivek
adding tensorboard and weights
1fd2026 almost 5 years ago
  • __pycache__
    Cose:Saving weights of epoch 3 at step 5 almost 5 years ago
  • gptneo_cose.py
    9.92 kB
    adding tensorboard and weights almost 5 years ago
  • model_file.py
    10.7 kB
    train files almost 5 years ago
  • requirements.txt
    55 Bytes
    train files almost 5 years ago