Instructions to use radinrad/WISEST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use radinrad/WISEST with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Meta-Llama-3.1-8B-bnb-4bit") model = PeftModel.from_pretrained(base_model, "radinrad/WISEST") - Notebooks
- Google Colab
- Kaggle
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## Model Details
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WISEST (**W**h**I**ch **S**ystematic **E**vidence **S**ynthesis is bes**T**) is an innovative tool designed to streamline the quality assessment of systematic reviews (SRs) using automated deep neural information retrieval techniques. Developed collaboratively by information retrieval specialists and health knowledge synthesis experts, WISEST addresses information overload by automating responses to the widely used ROBIS and AMSTAR-2 frameworks, enhancing the consistency and efficiency of SR evaluation. The user-friendly interface, refined through feedback from active SR practitioners, ensures accessibility for both technical and non-technical users. WISEST’s open-source code base promotes transparency and adaptability, empowering researchers and healthcare professionals to make more reliable, evidence-based decisions with reduced effort and improved accuracy.
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## Model Details
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