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YeBhoneLin10
/
FTL-Capstone-v2

Transformers
Safetensors
mt5
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use YeBhoneLin10/FTL-Capstone-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use YeBhoneLin10/FTL-Capstone-v2 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("YeBhoneLin10/FTL-Capstone-v2")
    model = AutoModelForSeq2SeqLM.from_pretrained("YeBhoneLin10/FTL-Capstone-v2")
  • Notebooks
  • Google Colab
  • Kaggle
FTL-Capstone-v2
1.21 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
YeBhoneLin10's picture
YeBhoneLin10
Upload tokenizer
301a9a8 verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    5.17 kB
    Upload MT5ForConditionalGeneration 6 months ago
  • config.json
    757 Bytes
    Upload MT5ForConditionalGeneration 6 months ago
  • generation_config.json
    142 Bytes
    Upload MT5ForConditionalGeneration 6 months ago
  • model.safetensors
    1.2 GB
    xet
    Upload MT5ForConditionalGeneration 6 months ago
  • special_tokens_map.json
    416 Bytes
    Upload tokenizer 6 months ago
  • spiece.model
    4.31 MB
    xet
    Upload tokenizer 6 months ago
  • tokenizer_config.json
    893 Bytes
    Upload tokenizer 6 months ago