122 lines
4.0 KiB
Python
122 lines
4.0 KiB
Python
import logging
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from pathlib import Path
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from typing import Optional
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from docling.datamodel.pipeline_options import (
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granite_picture_description,
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smoldocling_vlm_conversion_options,
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smoldocling_vlm_mlx_conversion_options,
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smolvlm_picture_description,
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)
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from docling.datamodel.settings import settings
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from docling.models.code_formula_model import CodeFormulaModel
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from docling.models.document_picture_classifier import DocumentPictureClassifier
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from docling.models.easyocr_model import EasyOcrModel
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from docling.models.hf_vlm_model import HuggingFaceVlmModel
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from docling.models.layout_model import LayoutModel
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from docling.models.picture_description_vlm_model import PictureDescriptionVlmModel
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from docling.models.table_structure_model import TableStructureModel
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_log = logging.getLogger(__name__)
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def download_models(
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output_dir: Optional[Path] = None,
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*,
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force: bool = False,
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progress: bool = False,
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with_layout: bool = True,
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with_tableformer: bool = True,
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with_code_formula: bool = True,
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with_picture_classifier: bool = True,
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with_smolvlm: bool = False,
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with_smoldocling: bool = False,
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with_smoldocling_mlx: bool = False,
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with_granite_vision: bool = False,
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with_easyocr: bool = True,
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):
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if output_dir is None:
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output_dir = settings.cache_dir / "models"
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# Make sure the folder exists
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output_dir.mkdir(exist_ok=True, parents=True)
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if with_layout:
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_log.info("Downloading layout model...")
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LayoutModel.download_models(
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local_dir=output_dir / LayoutModel._model_repo_folder,
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force=force,
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progress=progress,
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)
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if with_tableformer:
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_log.info("Downloading tableformer model...")
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TableStructureModel.download_models(
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local_dir=output_dir / TableStructureModel._model_repo_folder,
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force=force,
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progress=progress,
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)
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if with_picture_classifier:
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_log.info("Downloading picture classifier model...")
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DocumentPictureClassifier.download_models(
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local_dir=output_dir / DocumentPictureClassifier._model_repo_folder,
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force=force,
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progress=progress,
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)
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if with_code_formula:
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_log.info("Downloading code formula model...")
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CodeFormulaModel.download_models(
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local_dir=output_dir / CodeFormulaModel._model_repo_folder,
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force=force,
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progress=progress,
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)
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if with_smolvlm:
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_log.info("Downloading SmolVlm model...")
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PictureDescriptionVlmModel.download_models(
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repo_id=smolvlm_picture_description.repo_id,
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local_dir=output_dir / smolvlm_picture_description.repo_cache_folder,
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force=force,
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progress=progress,
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)
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if with_smoldocling:
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_log.info("Downloading SmolDocling model...")
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HuggingFaceVlmModel.download_models(
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repo_id=smoldocling_vlm_conversion_options.repo_id,
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local_dir=output_dir / smoldocling_vlm_conversion_options.repo_cache_folder,
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force=force,
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progress=progress,
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)
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if with_smoldocling_mlx:
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_log.info("Downloading SmolDocling MLX model...")
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HuggingFaceVlmModel.download_models(
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repo_id=smoldocling_vlm_mlx_conversion_options.repo_id,
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local_dir=output_dir
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/ smoldocling_vlm_mlx_conversion_options.repo_cache_folder,
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force=force,
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progress=progress,
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)
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if with_granite_vision:
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_log.info("Downloading Granite Vision model...")
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PictureDescriptionVlmModel.download_models(
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repo_id=granite_picture_description.repo_id,
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local_dir=output_dir / granite_picture_description.repo_cache_folder,
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force=force,
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progress=progress,
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)
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if with_easyocr:
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_log.info("Downloading easyocr models...")
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EasyOcrModel.download_models(
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local_dir=output_dir / EasyOcrModel._model_repo_folder,
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force=force,
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progress=progress,
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)
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return output_dir
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