transformers-stream-generator


Nametransformers-stream-generator JSON
Version 0.0.5 PyPI version JSON
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home_pagehttps://github.com/LowinLi/transformers-stream-generator
SummaryThis is a text generation method which returns a generator, streaming out each token in real-time during inference, based on Huggingface/Transformers.
upload_time2024-03-11 14:18:02
maintainer
docs_urlNone
authorLowinLi
requires_python>=3.5
licenseMIT License
keywords gpt stream transformers nlp model hub transformer text generation summarization translation q&a qg machine learning causallm
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls. 
            # transformers-stream-generator

[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/transformers-stream-generator.svg)](https://pypi.org/project/transformers-stream-generator/)
[![PyPI](https://img.shields.io/pypi/v/transformers-stream-generator.svg)](https://pypi.org/project/transformers-stream-generator/)
[![GitHub license badge](https://img.shields.io/github/license/LowinLi/transformers-stream-generator)](https://github.com/LowinLi/transformers-stream-generator/blob/main/LICENSE)
[![Blog](https://img.shields.io/badge/blog-LowinLi-important)](https://lowin.li)

### Description
This is a text generation method which returns a generator, streaming out each token in real-time during inference, based on Huggingface/Transformers. 

### Web Demo
+ original
![](./pic/original.gif)
+ stream
![](./pic/stream.gif)

### Installation
```bash
pip install transformers-stream-generator
```

### Usage
1. just add two lines of code before your original code
```python
from transformers_stream_generator import init_stream_support
init_stream_support()
```

2. add `do_stream=True` in `model.generate` function and keep `do_sample=True`, then you can get a generator
```python
generator = model.generate(input_ids, do_stream=True, do_sample=True)
for token in generator:
    word = tokenizer.decode(token)
    print(word)
```

### Example
+ run python script [example](./example/run.py) by gpt2
+ run web [example](./example/run_web.py)  by gpt2 and test in client [example](./example/test_client.py)

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