gemma 3 1b it ocr denoising en

提供商ClemensK
分类speech-enhancement
许可证Apache-2.0
下载量6
星标0

简介

Gemma 3 1B IT OCR Denoising EN 是一款基于 Google Gemma 3 轻量级架构的专项微调模型，核心能力在于对英文 OCR（光学字符识别）结果进行后处理去噪。它能有效识别并修正 OCR 扫描过程中产生的乱码、错词或格式错误，将粗糙的文本还原为流畅的自然语言。由于参数量仅 1B，该模型极其轻量，非常适合部署在端侧设备或作为自动化文档处理流水线中的一个轻量级清洗节点，在保证处理速度的同时提升文本质量。

核心亮点

  • 专注英文 OCR 文本纠错与噪声清除
  • 1B 参数量极轻，支持端侧快速部署
  • 显著提升扫描文档的文本可用性
  • Apache-2.0 协议，商业集成门槛低

使用方法

安装依赖
# 安装 Hugging Face transformers
pip install transformers torch
SDK 使用
# 使用 transformers 加载模型
from transformers import AutoModel, AutoTokenizer

model = AutoModel.from_pretrained("ClemensK/gemma-3-1b-it-ocr-denoising-en")
tokenizer = AutoTokenizer.from_pretrained("ClemensK/gemma-3-1b-it-ocr-denoising-en")

Hugging Face 下载

我们推荐使用命令行或者 Hugging Face Hub SDK 来进行模型的下载。

操作指引：在下载前，请先通过如下命令安装 huggingface_hub：

操作指引 
pip install -U huggingface_hub

命令行下载

下载完整模型库

下载完整模型库 
huggingface-cli download ClemensK/gemma-3-1b-it-ocr-denoising-en

下载单个文件到指定本地文件夹（以下载 config.json 到当前路径下 ./dir 目录为例）

下载单个文件到指定本地文件夹（以下载 config.json 到当前路径下 ./dir 目录为例） 
huggingface-cli download ClemensK/gemma-3-1b-it-ocr-denoising-en config.json --local-dir ./dir

更多命令行下载选项，可参见官方文档

SDK 下载

SDK 下载 
# 模型下载
from huggingface_hub import snapshot_download
model_dir = snapshot_download('ClemensK/gemma-3-1b-it-ocr-denoising-en')

Git 下载

请确保 lfs 已经被正确安装

Git 下载 
git lfs install
git clone https://huggingface.co/ClemensK/gemma-3-1b-it-ocr-denoising-en

如果您希望跳过 lfs 大文件下载，可以使用如下命令

跳过 LFS 
GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/ClemensK/gemma-3-1b-it-ocr-denoising-en

模型文件托管在 Hugging Face Hub，使用 HF CLI / SDK / Git 直接下载，不经过本站。

PyTorch / Transformers 使用

安装 Transformers

安装 Transformers 
pip install -U transformers torch

模型加载和推理

模型加载和推理 
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained('ClemensK/gemma-3-1b-it-ocr-denoising-en')
tokenizer = AutoTokenizer.from_pretrained('ClemensK/gemma-3-1b-it-ocr-denoising-en')

完整文档

来源: HuggingFace

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