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SakshamJain
/
Temp

Summarization
Transformers
t5
text2text-generation
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use SakshamJain/Temp 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="SakshamJain/Temp")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("SakshamJain/Temp")
    model = AutoModelForSeq2SeqLM.from_pretrained("SakshamJain/Temp")
  • Notebooks
  • Google Colab
  • Kaggle
Temp
3.22 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
SakshamJain's picture
SakshamJain
Upload config.json
dec4cf7 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    35 Bytes
    Create README.md over 2 years ago
  • config.json
    1.38 kB
    Upload 5 files over 2 years ago
  • special_tokens_map.json
    1.79 kB
    Upload 5 files over 2 years ago
  • spiece.model
    792 kB
    xet
    Upload 5 files over 2 years ago
  • tokenizer.json
    2.42 MB
    Upload 5 files over 2 years ago
  • tokenizer_config.json
    1.92 kB
    Upload 5 files over 2 years ago