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SenaSoft
/
chdv-summarization

Summarization
PEFT
Safetensors
Transformers
encoder-decoder
text2text-generation
spanish
lora
seq2seq
beto
Model card Files Files and versions
xet
Community

Instructions to use SenaSoft/chdv-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use SenaSoft/chdv-summarization with PEFT:

    Task type is invalid.
  • Transformers

    How to use SenaSoft/chdv-summarization 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="SenaSoft/chdv-summarization")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("SenaSoft/chdv-summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("SenaSoft/chdv-summarization")
  • Notebooks
  • Google Colab
  • Kaggle
chdv-summarization
993 MB
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  • 1 contributor
History: 4 commits
SenaSoft's picture
SenaSoft
Update README.md
f0f8358 verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    4.13 kB
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  • config.json
    1.86 kB
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  • generation_config.json
    149 Bytes
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  • model.safetensors
    992 MB
    xet
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  • special_tokens_map.json
    732 Bytes
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  • tokenizer.json
    735 kB
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  • tokenizer_config.json
    1.32 kB
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  • vocab.txt
    248 kB
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