fix: add smoldocling in download utils (#1577)
add smoldocling in download utils Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>
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@ -32,6 +32,8 @@ class _AvailableModels(str, Enum):
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CODE_FORMULA = "code_formula"
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PICTURE_CLASSIFIER = "picture_classifier"
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SMOLVLM = "smolvlm"
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SMOLDOCLING = "smoldocling"
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SMOLDOCLING_MLX = "smoldocling_mlx"
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GRANITE_VISION = "granite_vision"
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EASYOCR = "easyocr"
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@ -105,6 +107,8 @@ def download(
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with_code_formula=_AvailableModels.CODE_FORMULA in to_download,
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with_picture_classifier=_AvailableModels.PICTURE_CLASSIFIER in to_download,
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with_smolvlm=_AvailableModels.SMOLVLM in to_download,
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with_smoldocling=_AvailableModels.SMOLDOCLING in to_download,
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with_smoldocling_mlx=_AvailableModels.SMOLDOCLING_MLX in to_download,
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with_granite_vision=_AvailableModels.GRANITE_VISION in to_download,
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with_easyocr=_AvailableModels.EASYOCR in to_download,
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)
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@ -4,12 +4,15 @@ 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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@ -27,6 +30,8 @@ def download_models(
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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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@ -77,6 +82,25 @@ def download_models(
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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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