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phuongntc
/
results

PEFT
Safetensors
Transformers
lora
Model card Files Files and versions
xet
Community

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

  • Libraries
  • PEFT

    How to use phuongntc/results with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSeq2SeqLM
    
    base_model = AutoModelForSeq2SeqLM.from_pretrained("google/pegasus-cnn_dailymail")
    model = PeftModel.from_pretrained(base_model, "phuongntc/results")
  • Transformers

    How to use phuongntc/results with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("phuongntc/results", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
results / lora-vit5
9.48 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
phuongntc's picture
phuongntc
phuongntc/pegasus-sftLoRaEngIT-summarization
c090f94 verified about 1 year ago
  • README.md
    5.16 kB
    phuongntc/pegasus-sftLoRaEngIT-summarization about 1 year ago
  • adapter_config.json
    818 Bytes
    phuongntc/pegasus-sftLoRaEngIT-summarization about 1 year ago
  • adapter_model.safetensors
    9.48 MB
    xet
    phuongntc/pegasus-sftLoRaEngIT-summarization about 1 year ago