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Mayank1309
/
YTvideoSummarizer

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

Instructions to use Mayank1309/YTvideoSummarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Mayank1309/YTvideoSummarizer with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Mayank1309/YTvideoSummarizer")
    model = AutoModelForSeq2SeqLM.from_pretrained("Mayank1309/YTvideoSummarizer")
  • Notebooks
  • Google Colab
  • Kaggle
YTvideoSummarizer
242 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Mayank1309's picture
Mayank1309
Upload T5ForConditionalGeneration
a8bcc93 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • config.json
    1.47 kB
    Upload T5ForConditionalGeneration almost 3 years ago
  • generation_config.json
    142 Bytes
    Upload T5ForConditionalGeneration almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    242 MB
    xet
    Upload T5ForConditionalGeneration almost 3 years ago