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

MarioBarbeque
/
CyberSolve-LinAlg-1.1

Transformers
Safetensors
English
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use MarioBarbeque/CyberSolve-LinAlg-1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MarioBarbeque/CyberSolve-LinAlg-1.1 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("MarioBarbeque/CyberSolve-LinAlg-1.1")
    model = AutoModelForSeq2SeqLM.from_pretrained("MarioBarbeque/CyberSolve-LinAlg-1.1")
  • Notebooks
  • Google Colab
  • Kaggle
CyberSolve-LinAlg-1.1
3.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
MarioBarbeque's picture
MarioBarbeque
add intro
aeb2708 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    6 kB
    add intro over 1 year ago
  • config.json
    875 Bytes
    We introduce CyberSolve, the flan-t5-large model fintuned on all 2M records of the DeepMind LinAlg 1D dataset. This is the first model checkpoint, scoring 86.56 on the eval dataset over 1 year ago
  • generation_config.json
    142 Bytes
    We introduce CyberSolve, the flan-t5-large model fintuned on all 2M records of the DeepMind LinAlg 1D dataset. This is the first model checkpoint, scoring 86.56 on the eval dataset over 1 year ago
  • model.safetensors
    3.13 GB
    xet
    We introduce CyberSolve, the flan-t5-large model fintuned on all 2M records of the DeepMind LinAlg 1D dataset. This is the first model checkpoint, scoring 86.56 on the eval dataset over 1 year ago