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

necover
/
FTBartBasedModel4concluions

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

Instructions to use necover/FTBartBasedModel4concluions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use necover/FTBartBasedModel4concluions with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("necover/FTBartBasedModel4concluions")
    model = AutoModelForSeq2SeqLM.from_pretrained("necover/FTBartBasedModel4concluions")
  • Notebooks
  • Google Colab
  • Kaggle
FTBartBasedModel4concluions
1.63 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
necover's picture
necover
Upload BartForConditionalGeneration
97ceb1b verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    5.18 kB
    Upload BartForConditionalGeneration over 2 years ago
  • config.json
    1.66 kB
    Upload BartForConditionalGeneration over 2 years ago
  • generation_config.json
    358 Bytes
    Upload BartForConditionalGeneration over 2 years ago
  • model.safetensors
    1.63 GB
    xet
    Upload BartForConditionalGeneration over 2 years ago