Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

sami606713
/
medical_report_summarizer

Summarization
PEFT
Safetensors
English
medical
Model card Files Files and versions
xet
Community

Instructions to use sami606713/medical_report_summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use sami606713/medical_report_summarizer with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSeq2SeqLM
    
    base_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/bart-large-cnn")
    model = PeftModel.from_pretrained(base_model, "sami606713/medical_report_summarizer")
  • Notebooks
  • Google Colab
  • Kaggle
medical_report_summarizer
3.64 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
sami606713's picture
sami606713
Update README.md
1170fba verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.19 kB
    Update README.md almost 2 years ago
  • adapter_config.json
    774 Bytes
    Upload 7 files almost 2 years ago
  • adapter_model.safetensors
    722 kB
    xet
    Upload 7 files almost 2 years ago
  • special_tokens_map.json
    279 Bytes
    Upload 7 files almost 2 years ago
  • tokenizer.json
    2.11 MB
    Upload 7 files almost 2 years ago
  • tokenizer_config.json
    1.24 kB
    Upload 7 files almost 2 years ago
  • vocab.json
    798 kB
    Upload 7 files almost 2 years ago