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asritha22bce
/
bart-positive-tone

Transformers
Safetensors
bart
text2text-generation
nlp
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use asritha22bce/bart-positive-tone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use asritha22bce/bart-positive-tone with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("asritha22bce/bart-positive-tone")
    model = AutoModelForSeq2SeqLM.from_pretrained("asritha22bce/bart-positive-tone")
  • Notebooks
  • Google Colab
  • Kaggle
bart-positive-tone
2.24 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 18 commits
asritha22bce's picture
asritha22bce
Update README.md
3a42b71 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    387 Bytes
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  • config.json
    1.74 kB
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  • generation_config.json
    292 Bytes
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  • handler.py
    931 Bytes
    Create handler.py over 1 year ago
  • merges.txt
    456 kB
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  • model.safetensors
    558 MB
    xet
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  • model_state_dict.pth

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    558 MB
    xet
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  • optimizer.pt

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    1.12 GB
    xet
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  • special_tokens_map.json
    957 Bytes
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  • tokenizer.json
    3.56 MB
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  • tokenizer_config.json
    1.46 kB
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  • vocab.json
    798 kB
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