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Author:
Satya Phanindra Kumar Kalaga, Prudhvi Chekuri, Bharat Khandelwal, Anket Patil
Summary:
LAiSER (Leveraging Artificial Intelligence for Skill Extraction & Research) is a tool designed to help learners, educators, and employers extract and share trusted information about skills. It uses a fine-tuned language model to extract raw skill keywords from text, then aligns them with a predefined taxonomy. You can find more technical details in the project's paper.md and an overview in the README.md.
Latest version:
2.2.18
Required dependencies:
faiss-cpu
|
google.generativeai
|
ipython
|
numpy
|
pandas
|
psutil
|
python-dotenv
|
scikit-learn
|
sentence-transformers
|
skillner
|
spacy
|
tokenizers
|
torch
|
tqdm
|
transformers
Optional dependencies:
accelerate
|
bitsandbytes
|
skillner
|
spacy
|
torch
|
vllm
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