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Tin113
/
vit5_model

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

Instructions to use Tin113/vit5_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Tin113/vit5_model with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Tin113/vit5_model")
    model = AutoModelForSeq2SeqLM.from_pretrained("Tin113/vit5_model")
  • Notebooks
  • Google Colab
  • Kaggle
vit5_model
905 MB
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  • 1 contributor
History: 3 commits
Tin113's picture
Tin113
Upload tokenizer
e82fa55 verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    5.17 kB
    Upload T5ForConditionalGeneration 11 months ago
  • added_tokens.json
    2.49 kB
    Upload tokenizer 11 months ago
  • config.json
    731 Bytes
    Upload T5ForConditionalGeneration 11 months ago
  • generation_config.json
    142 Bytes
    Upload T5ForConditionalGeneration 11 months ago
  • model.safetensors
    904 MB
    xet
    Upload T5ForConditionalGeneration 11 months ago
  • special_tokens_map.json
    2.46 kB
    Upload tokenizer 11 months ago
  • spiece.model
    820 kB
    xet
    Upload tokenizer 11 months ago
  • tokenizer_config.json
    19.9 kB
    Upload tokenizer 11 months ago