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docs: update custom convert and dockerfile (#226)
* docs: remove old code from custom_convert.py Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * docs: update example Dockerfile Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> --------- Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>
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@@ -17,7 +17,7 @@ ENV TORCH_HOME=/tmp/
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COPY examples/minimal.py /root/minimal.py
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RUN python -c 'from deepsearch_glm.utils.load_pretrained_models import load_pretrained_nlp_models; load_pretrained_nlp_models(verbose=True);'
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RUN python -c 'from docling.document_converter import DocumentConverter; artifacts_path = DocumentConverter.download_models_hf(force=True);'
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RUN python -c 'from docling.pipeline.standard_pdf_pipeline import StandardPdfPipeline; StandardPdfPipeline.download_models_hf(force=True);'
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# On container environments, always set a thread budget to avoid undesired thread congestion.
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ENV OMP_NUM_THREADS=4
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