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Veggissss
/
ltg_nort5-base

Feature Extraction
Transformers
Safetensors
Generated from Trainer
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Veggissss/ltg_nort5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Veggissss/ltg_nort5-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Veggissss/ltg_nort5-base", trust_remote_code=True, device_map="auto")
    # Load model directly
    from transformers import AutoModelForConditionalGeneration
    model = AutoModelForConditionalGeneration.from_pretrained("Veggissss/ltg_nort5-base", trust_remote_code=True, dtype="auto", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ltg_nort5-base
913 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
Veggissss's picture
Veggissss
End of training
c4001e8 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    1.94 kB
    End of training about 1 year ago
  • config.json
    1.05 kB
    Training in progress, step 100 about 1 year ago
  • generation_config.json
    171 Bytes
    End of training about 1 year ago
  • model.safetensors
    911 MB
    xet
    Training in progress, step 700 about 1 year ago
  • special_tokens_map.json
    1.02 kB
    Training in progress, step 100 about 1 year ago
  • tokenizer.json
    1.28 MB
    Training in progress, step 100 about 1 year ago
  • tokenizer_config.json
    40.8 kB
    Training in progress, step 100 about 1 year ago
  • training_args.bin
    5.78 kB
    xet
    Training in progress, step 100 about 1 year ago