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philippelaban
/
summary_loop10

Summarization
Transformers
PyTorch
English
gpt2
text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use philippelaban/summary_loop10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use philippelaban/summary_loop10 with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "summarization" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("summarization", model="philippelaban/summary_loop10")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("philippelaban/summary_loop10")
    model = AutoModelForCausalLM.from_pretrained("philippelaban/summary_loop10")
  • Notebooks
  • Google Colab
  • Kaggle
summary_loop10
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  • 1 contributor
History: 6 commits
philippelaban's picture
philippelaban
Update README.md
651e90b about 4 years ago
  • .gitattributes
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    initial commit over 4 years ago
  • README.md
    2.63 kB
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  • config.json
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  • merges.txt
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  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.ByteStorage",
    • "torch.HalfStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    262 MB
    xet
    Initial commit of tokenizer and model over 4 years ago
  • special_tokens_map.json
    89 Bytes
    Initial commit of tokenizer and model over 4 years ago
  • tokenizer.json
    1.36 MB
    Initial commit of tokenizer and model over 4 years ago
  • tokenizer_config.json
    217 Bytes
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  • vocab.json
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    Initial commit of tokenizer and model over 4 years ago