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Vino1502
/
scihigh-2026-task2-t5-large

Summarization
PEFT
Safetensors
Transformers
English
lora
scihigh-2026
task2
Model card Files Files and versions
xet
Community

Instructions to use Vino1502/scihigh-2026-task2-t5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Vino1502/scihigh-2026-task2-t5-large with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSeq2SeqLM
    
    base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-large")
    model = PeftModel.from_pretrained(base_model, "Vino1502/scihigh-2026-task2-t5-large")
  • Transformers

    How to use Vino1502/scihigh-2026-task2-t5-large 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="Vino1502/scihigh-2026-task2-t5-large")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Vino1502/scihigh-2026-task2-t5-large", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
scihigh-2026-task2-t5-large
40.3 MB
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  • 1 contributor
History: 8 commits
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Vino1502
Update README.md
1433909 verified 16 days ago
  • .gitattributes
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    initial commit 16 days ago
  • README.md
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    Update README.md 16 days ago
  • adapter_config.json
    1.09 kB
    Upload fine-tuned FLAN-T5-Large LoRA best model checkpoint 16 days ago
  • adapter_model.safetensors
    37.8 MB
    xet
    Upload fine-tuned FLAN-T5-Large LoRA best model checkpoint 16 days ago
  • tokenizer.json
    2.42 MB
    Upload fine-tuned FLAN-T5-Large LoRA best model checkpoint 16 days ago
  • tokenizer_config.json
    2.38 kB
    Upload fine-tuned FLAN-T5-Large LoRA best model checkpoint 16 days ago