For unstructured<0.9.0, you can install the extras for all document types with pip install "unstructured[local-inference]". The local-inference extra is still supported in newer versions for backward compatibility, but may be deprecated in a future version. The all-docs extra is the officially ...
需要安装额外依赖:unstructured[local-inference] # 使用高精度模式处理复杂布局 elements = partition_pdf( filename="complex_layout.pdf", strategy="hi_res" ) “ocr_only”(OCR模式) 仅使用OCR提取文本 适用于扫描文档或图片PDF # 处理扫描文档 elements = partition_pdf( filename="scanned.pdf", strategy=...
运行此pip install unstructured或此pip install“unstructured[local-inference]”
unstructured[local-inference]==0.12.0 unstructured[local-inference]==0.12.3 # via -r requirements/base.in unstructured-client==0.15.2 unstructured-client==0.17.0 # via unstructured unstructured-inference==0.7.21 unstructured-inference==0.7.23 # via unstructured unstructured-pytesseract==0.3.12 # vi...
unstructured[local-inference]>=0.6.2unstructured-api-tools>=0.6.0 ratelimit requests2 changes: 1 addition & 1 deletion 2 requirements/base.txt Original file line numberDiff line numberDiff line change @@ -368,7 +368,7 @@ typing-extensions==4.5.0 # rich # starlette # torch unstructured[...
PUT _ingest/pipeline/chunks-to-elser{"processors":[{"inference":{"model_id":".elser_model_2_linux-x86_64","input_output":[{"input_field":"text","output_field":"text_embedding"}]}}]} 下一步是创建一个名为unstructured-demo的索引,并为 ELSER 嵌入创建必要的映射。我们还将我们在上一步中...
"inference": { "model_id": ".elser_model_2_linux-x86_64", "input_output": [ { "input_field": "text", "output_field": "text_embedding" } ] } } ] } 3)下一步是创建一个索引 unstructured-demo,其中包含 ELSER 嵌入的必要映射。我们还将把上一步中创建的管道附加到此索引。我们将允许所...
Installing detectron2 from source is no longer required when using the local-inference extra. Updates .pptx parsing to include text in tables.FeaturesFixesFixes an issue in _add_element_metadata that caused all elements to have page_number=1 in the element metadata. Adds .log as a file ...
extraction previously occurred inunstructured-inference, but that logic, except for the table model itself, is now a part of theunstructuredlibrary. Thus the parameter triggering table extraction is no longer passed to theunstructured-inferencepackage. Also noted the table output regression for PDF ...
os env variable UNSTRUCTURED_HI_RES_MODEL_NAME; it now returns the same model name regardless of infer_table_structure's value; this function will be deprecated in the future and the default model name will simply rely on unstructured-inference and will not consider os env in a future ...