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gigant
/
led_tib

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

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

  • Libraries
  • Transformers

    How to use gigant/led_tib with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("gigant/led_tib")
    model = AutoModelForSeq2SeqLM.from_pretrained("gigant/led_tib", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
led_tib
2.59 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
gigant's picture
gigant
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
51619bc verified over 1 year ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    1.28 kB
    Upload 13 files over 3 years ago
  • generation_config.json
    325 Bytes
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  • merges.txt
    456 kB
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  • model.safetensors
    648 MB
    xet
    Adding `safetensors` variant of this model (#1) over 1 year ago
  • optimizer.pt
    1.29 GB
    xet
    Upload 13 files over 3 years ago
  • pytorch_model.bin
    648 MB
    xet
    Upload 13 files over 3 years ago
  • rng_state.pth
    14.6 kB
    xet
    Upload 13 files over 3 years ago
  • scheduler.pt
    627 Bytes
    xet
    new training over 3 years ago
  • special_tokens_map.json
    957 Bytes
    Upload 13 files over 3 years ago
  • tokenizer.json
    2.11 MB
    Upload 13 files over 3 years ago
  • tokenizer_config.json
    1.51 kB
    Upload 13 files over 3 years ago
  • trainer_state.json
    28.4 kB
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  • training_args.bin
    3.71 kB
    xet
    Upload 13 files over 3 years ago
  • vocab.json
    798 kB
    Upload 13 files over 3 years ago