Metadata-Version: 2.3
Name: swarmauri_parser_bertembedding
Version: 0.7.1.dev1
Summary: Swarmauri Bert Embedding Parser
License: Apache-2.0
Author: Jacob Stewart
Author-email: jacob@swarmauri.com
Requires-Python: >=3.10,<3.13
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: swarmauri_base
Requires-Dist: swarmauri_core
Requires-Dist: swarmauri_standard
Requires-Dist: torch
Requires-Dist: transformers (>=4.45.0)
Description-Content-Type: text/markdown


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---

# Swarmauri Parser Bert Embedding

A parser that transforms input text into document embeddings using BERT.

## Installation

```bash
pip install swarmauri_parser_bertembedding
```

## Usage
Basic usage examples with code snippets
```python
from swarmauri.parsers.BERTEmbeddingParser import BERTEmbeddingParser

# Initialize the parser
parser = BERTEmbeddingParser()

# Parse some text data
documents = parser.parse("Your text data here")

# Access the embeddings
for doc in documents:
    print(doc.content)
```

## Want to help?

If you want to contribute to swarmauri-sdk, read up on our [guidelines for contributing](https://github.com/swarmauri/swarmauri-sdk/blob/master/contributing.md) that will help you get started.

