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Giant Language Model Test Room
| Date | Stars |
|---|---|
| 2026-07-31 | 501 |
| 2026-08-06 | 501 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# GLTR: Giant Language Model Test Room
Detecting text that was generated from large language models (e.g. GPT-2).
<a href='http://gltr.io'>
<img src='figs/overview.png' >
</a>
webpage: [http://gltr.io](http://gltr.io)<br>
online-demo: [http://gltr.io/dist/index.html](http://gltr.io/dist/index.html)<br>
paper: [https://arxiv.org/abs/1906.04043](https://arxiv.org/abs/1906.04043)
A project by Hendrik Strobelt, Sebastian Gehrmann, Alexander M. Rush.
collaboration of MIT-IBM Watson AI Lab and HarvardNLP
## Quickstart
Install dependencies for Python >3.6 :
```bash
pip install -r requirements.txt
```
run server for `gpt-2-small`:
```bash
python server.py
```
the demo instance runs now at [http://localhost:5001/client/index.html](http://localhost:5001/client/index.html)
## Run the BERT server
start the server for `BERT`:
```bash
python server.py --model BERT
```
the instance runs now at [http://localhost:5001/client/index.html?nodemo](http://localhost:5001/client/index.html?nodemo). HINT: we only provide demo texts for `gpt2-small`.
## server.py options
```
usage: server.py [-h] [--model MODEL] [--nodebug NODEBUG] [--address ADDRESS]
[--port PORT] [--nocache NOCACHE] [--dir DIR] [--no_cors]
optional arguments:
-h, --help show this help message and exit
--model MODEL choose either 'gpt-2-small' (default) or 'BERT' or your own
--nodebug NODEBUG server in non-debugging mode
--port PORT port to launch UI and API (default:5001)
--no_cors launch API without CORS support (default: False)
```
## Extend backend
The backend defines a number of model api's that can be invoked by the server by starting it with the parameter `--model NAME`. To add a custom model, you need to write your own api in `backend/api.py` and add the decorator `@register_api(name=NAME)`.
Each api needs to be a class that inherits from `AbstractLanguageChecker`, which defines two functions `check_probabilities` and `postprocess`. Please follow the documentation within `api.py` when implementing the class and the functions.
## Extend frontend
the source code for the front-end is in `client/src`.
To modify, installing of node dependencies is necessary:
```bash
cd client/src; npm install; cd ../..
```
re-compilation of front-end:
```bash
> rm -rf client/dist;cd client/src/; npm run build; cd ../..
```
## License
Apache 2
(c) 2019 by Hendrik Strobelt, Sebastian Gehrmann, Alexander M. Rush
Excerpt of 2,475 characters
Read on GitHub
13
Sebastian Gehrmann · Google · United States
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:612d59c7e30e1386, topic:nlp