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

NIRVLab
/
ViEde

Transformers
Safetensors
mbart
text2text-generation
Generated from Trainer
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use NIRVLab/ViEde with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("NIRVLab/ViEde")
    model = AutoModelForSeq2SeqLM.from_pretrained("NIRVLab/ViEde")
  • Notebooks
  • Google Colab
  • Kaggle
ViEde
1.59 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
HeyDunaX's picture
HeyDunaX
End of training
303b785 verified 24 days ago
  • .gitattributes
    1.52 kB
    initial commit 24 days ago
  • README.md
    1.69 kB
    End of training 24 days ago
  • config.json
    911 Bytes
    Training in progress, epoch 1 24 days ago
  • dict.txt
    360 kB
    End of training 24 days ago
  • generation_config.json
    161 Bytes
    Training in progress, epoch 1 24 days ago
  • model.safetensors
    1.58 GB
    xet
    End of training 24 days ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    End of training 24 days ago
  • special_tokens_map.json
    965 Bytes
    End of training 24 days ago
  • tokenizer_config.json
    1.31 kB
    End of training 24 days ago
  • training_args.bin
    5.97 kB
    xet
    Training in progress, epoch 1 24 days ago