Repository navigation
ML model to train PDF #2
Answered
by
Vivek-736
AshrafGalibShaik
asked this question in
Q&A
|
how can i use an ML model to train PDF's? |
Answered by
Vivek-736
Sep 18, 2025
Replies: 1 comment
|
Extract text → use libraries like PyPDF2, pdfplumber, or pymupdf. Preprocess → clean, tokenize, split into chunks. Embed or train → feed the processed text into your ML pipeline (e.g., embeddings + vector DB for search, or fine-tune a language model). 👉 In short: PDF → text → preprocess → train ML model. |
0 replies
Answer selected by
AshrafGalibShaik
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Extract text → use libraries like PyPDF2, pdfplumber, or pymupdf.
Preprocess → clean, tokenize, split into chunks.
Embed or train → feed the processed text into your ML pipeline (e.g., embeddings + vector DB for search, or fine-tune a language model).
👉 In short: PDF → text → preprocess → train ML model.