opendatalab / PDF-Extract-Kit

huggingface.co
Total runs: 0
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: September 14 2024

Introduction of PDF-Extract-Kit

Model Details of PDF-Extract-Kit

Install Git LFS

Before you begin, make sure Git Large File Storage (Git LFS) is installed on your system. Install it using the following command:

git lfs install
Download the Model from Hugging Face

To download the PDF-Extract-Kit model from Hugging Face, use the following command:

git lfs clone https://huggingface.co/opendatalab/PDF-Extract-Kit

Ensure that Git LFS is enabled during the clone to properly download all large files.

Download the Model from ModelScope
SDK Download
# First, install the ModelScope library using pip:
pip install modelscope
# Use the following Python code to download the model using the ModelScope SDK:
from modelscope import snapshot_download
model_dir = snapshot_download('opendatalab/PDF-Extract-Kit')
Git Download

Alternatively, you can use Git to clone the model repository from ModelScope:

git clone https://www.modelscope.cn/opendatalab/PDF-Extract-Kit.git

Put model files here:

./
├── Layout
│   ├── config.json
│   └── model_final.pth
├── MFD
│   └── weights.pt
├── MFR
│   └── UniMERNet
│       ├── config.json
│       ├── preprocessor_config.json
│       ├── pytorch_model.bin
│       ├── README.md
│       ├── tokenizer_config.json
│       └── tokenizer.json
├── TabRec
│   └── StructEqTable
│       ├── config.json
│       ├──generation_config.json
│       ├──model.safetensors
│       ├──preprocessor_config.json
│       ├──special_tokens_map.json
│       ├──spiece.model
│       ├──tokenizer_config.json
│       └──tokenizer.json
└── README.md

Runs of opendatalab PDF-Extract-Kit on huggingface.co

0
Total runs
0
24-hour runs
0
3-day runs
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7-day runs
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30-day runs

More Information About PDF-Extract-Kit huggingface.co Model

PDF-Extract-Kit huggingface.co

PDF-Extract-Kit huggingface.co is an AI model on huggingface.co that provides PDF-Extract-Kit's model effect (), which can be used instantly with this opendatalab PDF-Extract-Kit model. huggingface.co supports a free trial of the PDF-Extract-Kit model, and also provides paid use of the PDF-Extract-Kit. Support call PDF-Extract-Kit model through api, including Node.js, Python, http.

opendatalab PDF-Extract-Kit online free

PDF-Extract-Kit huggingface.co is an online trial and call api platform, which integrates PDF-Extract-Kit's modeling effects, including api services, and provides a free online trial of PDF-Extract-Kit, you can try PDF-Extract-Kit online for free by clicking the link below.

opendatalab PDF-Extract-Kit online free url in huggingface.co:

https://huggingface.co/opendatalab/PDF-Extract-Kit

PDF-Extract-Kit install

PDF-Extract-Kit is an open source model from GitHub that offers a free installation service, and any user can find PDF-Extract-Kit on GitHub to install. At the same time, huggingface.co provides the effect of PDF-Extract-Kit install, users can directly use PDF-Extract-Kit installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

PDF-Extract-Kit install url in huggingface.co:

https://huggingface.co/opendatalab/PDF-Extract-Kit

Url of PDF-Extract-Kit

PDF-Extract-Kit huggingface.co Url

Provider of PDF-Extract-Kit huggingface.co

opendatalab
ORGANIZATIONS

Other API from opendatalab

huggingface.co

Total runs: 724
Run Growth: -487
Growth Rate: -67.27%
Updated:December 03 2025