4cc6e3ea5e
* draft for picture description models Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * vlm description using AutoModelForVision2Seq Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * add generation options Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * update vlm API Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * allow only localhost traffic Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * rename model Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * do not run with vlm api Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * more renaming Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * fix examples path Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * apply CLI download login Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * fix name of cli argument Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * use with_smolvlm in models download Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> --------- Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>
85 lines
2.7 KiB
Python
85 lines
2.7 KiB
Python
import logging
|
|
from pathlib import Path
|
|
from typing import Optional
|
|
|
|
from docling.datamodel.pipeline_options import smolvlm_picture_description
|
|
from docling.datamodel.settings import settings
|
|
from docling.models.code_formula_model import CodeFormulaModel
|
|
from docling.models.document_picture_classifier import DocumentPictureClassifier
|
|
from docling.models.easyocr_model import EasyOcrModel
|
|
from docling.models.layout_model import LayoutModel
|
|
from docling.models.picture_description_vlm_model import PictureDescriptionVlmModel
|
|
from docling.models.table_structure_model import TableStructureModel
|
|
|
|
_log = logging.getLogger(__name__)
|
|
|
|
|
|
def download_models(
|
|
output_dir: Optional[Path] = None,
|
|
*,
|
|
force: bool = False,
|
|
progress: bool = False,
|
|
with_layout: bool = True,
|
|
with_tableformer: bool = True,
|
|
with_code_formula: bool = True,
|
|
with_picture_classifier: bool = True,
|
|
with_smolvlm: bool = True,
|
|
with_easyocr: bool = True,
|
|
):
|
|
if output_dir is None:
|
|
output_dir = settings.cache_dir / "models"
|
|
|
|
# Make sure the folder exists
|
|
output_dir.mkdir(exist_ok=True, parents=True)
|
|
|
|
if with_layout:
|
|
_log.info(f"Downloading layout model...")
|
|
LayoutModel.download_models(
|
|
local_dir=output_dir / LayoutModel._model_repo_folder,
|
|
force=force,
|
|
progress=progress,
|
|
)
|
|
|
|
if with_tableformer:
|
|
_log.info(f"Downloading tableformer model...")
|
|
TableStructureModel.download_models(
|
|
local_dir=output_dir / TableStructureModel._model_repo_folder,
|
|
force=force,
|
|
progress=progress,
|
|
)
|
|
|
|
if with_picture_classifier:
|
|
_log.info(f"Downloading picture classifier model...")
|
|
DocumentPictureClassifier.download_models(
|
|
local_dir=output_dir / DocumentPictureClassifier._model_repo_folder,
|
|
force=force,
|
|
progress=progress,
|
|
)
|
|
|
|
if with_code_formula:
|
|
_log.info(f"Downloading code formula model...")
|
|
CodeFormulaModel.download_models(
|
|
local_dir=output_dir / CodeFormulaModel._model_repo_folder,
|
|
force=force,
|
|
progress=progress,
|
|
)
|
|
|
|
if with_smolvlm:
|
|
_log.info(f"Downloading SmolVlm model...")
|
|
PictureDescriptionVlmModel.download_models(
|
|
repo_id=smolvlm_picture_description.repo_id,
|
|
local_dir=output_dir / smolvlm_picture_description.repo_cache_folder,
|
|
force=force,
|
|
progress=progress,
|
|
)
|
|
|
|
if with_easyocr:
|
|
_log.info(f"Downloading easyocr models...")
|
|
EasyOcrModel.download_models(
|
|
local_dir=output_dir / EasyOcrModel._model_repo_folder,
|
|
force=force,
|
|
progress=progress,
|
|
)
|
|
|
|
return output_dir
|