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ajaydahiya8822
/
ajayd1

Summarization
Transformers
PyTorch
English
bart
text2text-generation
sagemaker
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use ajaydahiya8822/ajayd1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ajaydahiya8822/ajayd1 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="ajaydahiya8822/ajayd1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("ajaydahiya8822/ajayd1")
    model = AutoModelForSeq2SeqLM.from_pretrained("ajaydahiya8822/ajayd1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ajayd1
1.63 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
ajaydahiya8822's picture
ajaydahiya8822
Delete cp
3acc878 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.7 kB
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  • all_results.json
    1.33 kB
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  • config.json
    1.63 kB
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  • eval_results.json
    454 Bytes
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  • merges.txt
    456 kB
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  • pytorch_model.bin
    1.63 GB
    xet
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  • special_tokens_map.json
    239 Bytes
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  • test_generations.txt
    185 kB
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  • test_results.json
    438 Bytes
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  • tokenizer_config.json
    300 Bytes
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  • train_results.json
    457 Bytes
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  • trainer_state.json
    641 Bytes
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  • training_args.bin
    2.35 kB
    xet
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  • vocab.json
    798 kB
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