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SummerSigh
/
BART-Base-Rule-Of-Thumb

Transformers
PyTorch
Safetensors
bart
text2text-generation
Model card Files Files and versions
xet
Community
1

Instructions to use SummerSigh/BART-Base-Rule-Of-Thumb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SummerSigh/BART-Base-Rule-Of-Thumb with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("SummerSigh/BART-Base-Rule-Of-Thumb")
    model = AutoModelForSeq2SeqLM.from_pretrained("SummerSigh/BART-Base-Rule-Of-Thumb")
  • Notebooks
  • Google Colab
  • Kaggle
BART-Base-Rule-Of-Thumb
3.25 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
SummerSigh's picture
SummerSigh
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
52741df about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    959 Bytes
    Create README.md about 3 years ago
  • config.json
    1.73 kB
    Upload BartForConditionalGeneration about 3 years ago
  • generation_config.json
    292 Bytes
    Upload BartForConditionalGeneration about 3 years ago
  • merges.txt
    456 kB
    Upload tokenizer about 3 years ago
  • model.safetensors
    1.63 GB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin
    1.63 GB
    xet
    Upload BartForConditionalGeneration about 3 years ago
  • special_tokens_map.json
    280 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    1.38 kB
    Upload tokenizer about 3 years ago
  • vocab.json
    999 kB
    Upload tokenizer about 3 years ago