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Linhz
/
vit5_vico

Transformers
PyTorch
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use Linhz/vit5_vico with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Linhz/vit5_vico with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Linhz/vit5_vico")
    model = AutoModelForSeq2SeqLM.from_pretrained("Linhz/vit5_vico")
  • Notebooks
  • Google Colab
  • Kaggle
vit5_vico
1.81 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
01a6f25 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    770 Bytes
    Upload 8 files over 2 years ago
  • generation_config.json
    142 Bytes
    Upload 8 files over 2 years ago
  • model.safetensors
    904 MB
    xet
    Adding `safetensors` variant of this model about 1 year ago
  • pytorch_model.bin
    904 MB
    xet
    Upload 8 files over 2 years ago
  • special_tokens_map.json
    2.12 kB
    Upload 8 files over 2 years ago
  • spiece.model
    820 kB
    xet
    Upload 8 files over 2 years ago
  • tokenizer.json
    2.42 MB
    Upload 8 files over 2 years ago
  • tokenizer_config.json
    2.29 kB
    Upload 8 files over 2 years ago
  • training_args.bin
    4.16 kB
    xet
    Upload 8 files over 2 years ago