Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

sank29mane
/
LayBioSum

Text Generation
PEFT
Safetensors
English
biomedical
summarization
lay-summary
healthcare
nlp
fine-tuned
lora
elife
plos
medical-text
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use sank29mane/LayBioSum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use sank29mane/LayBioSum with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2")
    model = PeftModel.from_pretrained(base_model, "sank29mane/LayBioSum")
  • Notebooks
  • Google Colab
  • Kaggle
LayBioSum
31.5 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
sank29mane's picture
sank29mane
Update model description with comprehensive details from GitHub research project
3ec439f verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    9.64 kB
    Update model description with comprehensive details from GitHub research project 10 months ago
  • adapter_config.json
    591 Bytes
    trained on elife data over 2 years ago
  • adapter_model.safetensors
    31.5 MB
    xet
    trained on elife data over 2 years ago