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syndi-models
/
titlewave-t5-base

Summarization
Transformers
PyTorch
English
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use syndi-models/titlewave-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use syndi-models/titlewave-t5-base 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="syndi-models/titlewave-t5-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("syndi-models/titlewave-t5-base")
    model = AutoModelForSeq2SeqLM.from_pretrained("syndi-models/titlewave-t5-base")
  • Notebooks
  • Google Colab
  • Kaggle
titlewave-t5-base
893 MB
Ctrl+K
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  • 2 contributors
History: 3 commits
patrickvonplaten's picture
patrickvonplaten
allow flax
fb30007 almost 5 years ago
  • .gitattributes
    736 Bytes
    allow flax almost 5 years ago
  • README.md
    2.04 kB
    Initial commit about 5 years ago
  • config.json
    941 Bytes
    Initial commit about 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    892 MB
    xet
    Initial commit about 5 years ago
  • special_tokens_map.json
    1.79 kB
    Initial commit about 5 years ago
  • spiece.model
    792 kB
    xet
    Initial commit about 5 years ago
  • tokenizer_config.json
    1.86 kB
    Initial commit about 5 years ago