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snoop2head
/
KoBrailleT5-small-v1

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

Instructions to use snoop2head/KoBrailleT5-small-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use snoop2head/KoBrailleT5-small-v1 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("snoop2head/KoBrailleT5-small-v1")
    model = AutoModelForSeq2SeqLM.from_pretrained("snoop2head/KoBrailleT5-small-v1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
KoBrailleT5-small-v1
306 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
snoop2head's picture
snoop2head
Upload T5ForConditionalGeneration
7cc45df over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    710 Bytes
    Upload T5ForConditionalGeneration over 3 years ago
  • generation_config.json
    112 Bytes
    Upload T5ForConditionalGeneration over 3 years ago
  • pytorch_model.bin
    306 MB
    xet
    Upload T5ForConditionalGeneration over 3 years ago
  • special_tokens_map.json
    156 Bytes
    add tokenizer over 3 years ago
  • tokenizer.json
    34.8 kB
    add tokenizer over 3 years ago
  • tokenizer_config.json
    46 Bytes
    add tokenizer over 3 years ago