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HUPD
/
hupd-t5-small

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

Instructions to use HUPD/hupd-t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use HUPD/hupd-t5-small 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="HUPD/hupd-t5-small")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("HUPD/hupd-t5-small")
    model = AutoModelForSeq2SeqLM.from_pretrained("HUPD/hupd-t5-small")
  • Notebooks
  • Google Colab
  • Kaggle
hupd-t5-small
246 MB
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  • 2 contributors
History: 6 commits
turingmachine's picture
turingmachine
Update README.md
0adda77 over 3 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • README.md
    3.97 kB
    Update README.md over 3 years ago
  • added_tokens.json
    9.59 kB
    add tokenizer almost 4 years ago
  • config.json
    1.43 kB
    add model almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    243 MB
    xet
    add model almost 4 years ago
  • special_tokens_map.json
    1.81 kB
    add tokenizer almost 4 years ago
  • spiece.model
    792 kB
    xet
    add tokenizer almost 4 years ago
  • tokenizer.json
    1.46 MB
    add tokenizer almost 4 years ago
  • tokenizer_config.json
    1.98 kB
    add tokenizer almost 4 years ago