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

deb-cmd
/
t5gemma-simplifier

Transformers
Safetensors
t5gemma
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use deb-cmd/t5gemma-simplifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use deb-cmd/t5gemma-simplifier with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("deb-cmd/t5gemma-simplifier")
    model = AutoModelForSeq2SeqLM.from_pretrained("deb-cmd/t5gemma-simplifier")
  • Notebooks
  • Google Colab
  • Kaggle
t5gemma-simplifier
2.37 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
deb-cmd's picture
deb-cmd
Upload T5GemmaForConditionalGeneration
8893806 verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • README.md
    5.17 kB
    Upload T5GemmaForConditionalGeneration 12 months ago
  • config.json
    2.58 kB
    Upload T5GemmaForConditionalGeneration 12 months ago
  • generation_config.json
    151 Bytes
    Upload T5GemmaForConditionalGeneration 12 months ago
  • model.safetensors
    2.37 GB
    xet
    Upload T5GemmaForConditionalGeneration 12 months ago