Metadata-Version: 2.1
Name: herberta
Version: 0.1.0
Summary: A Python package for converting texts to embeddings using pretrained models.
Home-page: https://github.com/15392778677/herberta
Author: XiaoEn
Author-email: 1958944515@qq.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: torch>=1.9
Requires-Dist: transformers>=4.0

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 * @Date: 2024-12-04 16:54:16
 * @LastEditors: yangyehan 1958944515@qq.com
 * @LastEditTime: 2024-12-04 17:10:31
 * @FilePath: /herberta/README.md
 * @Description: 
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# Text Embedding Package

A Python package for converting texts into embeddings using pretrained transformer models.

## Installation

```bash
pip install herberta

```python
from herberta.embedding import TextToEmbedding

# Initialize the embedding model
embedder = TextToEmbedding("path/to/your/model")

# Single text input
embedding = embedder.get_embeddings("This is a sample text.")

# Multiple text input
texts = ["This is a sample text.", "Another example."]
embeddings = embedder.get_embeddings(texts)
```

