onnx-community/OTIS-Official-Spam-Model-ONNX
OTIS-Official-Spam-Model (ONNX)
This is an ONNX version of Titeiiko/OTIS-Official-Spam-Model. It was automatically converted and uploaded using this Hugging Face Space.
Usage with Transformers.js
See the pipeline documentation for text-classification: https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.TextClassificationPipeline
<!-- PROJECT LOGO --> <br /> <div align="center"> <a href="https://github.com/JewishLewish/Otis"> <img src="https://cdn.discordapp.com/attachments/660227834500874276/1175310288212463706/47.BigTree_1.png?ex=656ac400&is=65584f00&hm=0518b63834cd0da8208e79c1b019fd41e170aaa860d4812695fb8a43d43abc55&" alt="Logo" width="200" height="200"> </a>
<h3 align="center">Otis Anti-Spam AI</h3>
<p align="center"> Go Away Spam! <br /> <a href="https://huggingface.co/Titeiiko/OTIS-Official-Spam-Model"><strong>» » Hugging Face</strong></a> <br /> <a href="https://github.com/JewishLewish/Otis"><strong>» » Github</strong></a> <br /> <div align="center">
</div>
</p> </div>
<!-- TABLE OF CONTENTS --> <details> <summary>Table of Contents</summary> <ol> <li> <a href="#Quickstart">Quickstart</a> </li> <li><a href="#contributing">Contributing</a></li> <li><a href="#license">License</a></li> <li><a href="#contact">Contact</a></li> </ol> </details>
<!-- Quickstar -->
Quickstart
# pip install transformers
from transformers import pipeline
def analyze_output(input: str):
pipe = pipeline("text-classification", model="Titeiiko/OTIS-Official-Spam-Model")
x = pipe(input)[0]
if x["label"] == "LABEL_0":
return {"type":"Not Spam", "probability":x["score"]}
else:
return {"type":"Spam", "probability":x["score"]}
print(analyze_output("Cһeck out our amazinɡ bооѕting serviсe ѡhere you can get to Leveӏ 3 for 3 montһs for just 20 USD."))
#Output: {'type': 'Spam', 'probability': 0.9996588230133057}<!-- ABOUT THE PROJECT -->
About The Project
Introducing Otis: Otis is an advanced anti-spam artificial intelligence model designed to mitigate and combat the proliferation of unwanted and malicious content within digital communication channels.
<p align="right">(<a href="#readme-top">back to top</a>)</p>
<!-- CONTRIBUTING -->
Contributing
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b JewishLewish/Otis) - Commit your Changes (
git commit -m 'Add some AmazingFeatures') - Push to the Branch (
git push origin JewishLewish/Otis) - Open a Pull Request
<p align="right">(<a href="#readme-top">back to top</a>)</p>
<!-- LICENSE -->
License
Distributed under the BSD-3 License. See LICENSE.txt for more information.
<p align="right">(<a href="#readme-top">back to top</a>)</p>
<!-- CONTACT -->
Contact
My Email: lenny@lunes.host
<p align="right">(<a href="#readme-top">back to top</a>)</p>
OtisV1
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