# fess-text-vectorizer

**Repository Path**: mirrors_codelibs/fess-text-vectorizer

## Basic Information

- **Project Name**: fess-text-vectorizer
- **Description**: Sentence Encoding/Embedding Serving Server
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-03-07
- **Last Updated**: 2026-01-24

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Sentence Embedding Serving Server

## Getting Started

### Run Docker

```
docker run -p 8080:8080 -it ghcr.io/codelibs/embedding-api:1.0.1
```

### Run Docker with Model Name

```
docker run -p 8080:8080 -e MODEL_NAME=intfloat/multilingual-e5-large -it ghcr.io/codelibs/embedding-api:1.0.1
```

### Use Model Cache

```
docker run -v ./model:/code/model -p 8080:8080 -it ghcr.io/codelibs/embedding-api:1.0.1
```

### Run Docker with GPU

```
docker run --gpus all -p 8080:8080 -it ghcr.io/codelibs/embedding-api:1.0.1.cuda11
```

## Request

### Embedding API

```
curl -s -H "Content-Type:application/json" -XPOST localhost:8080/encode -d '
{
  "sentences": [
    "This framework generates embeddings for each input sentence",
    "Sentences are passed as a list of string.",
    "The quick brown fox jumps over the lazy dog."
  ]
}'
```

### Information API

```
curl -s -H "Content-Type:application/json" -XGET localhost:8080/
```

### Ping API

```
curl -s -H "Content-Type:application/json" -XGET localhost:8080/ping
```

## Build

### Build Docker

```
docker build --rm -t ghcr.io/codelibs/embedding-api:1.0.1 .
```