onnx-community/OTIS-Official-Spam-Model-ONNX
By onnx-community · ↓ 3 · ♥ 1 · Updated 2026-01-24
What's in this repo
This page lists the files in onnx-community/OTIS-Official-Spam-Model-ONNX, including model.onnx, model_bnb4.onnx, model_fp16.onnx and more.
- 8 ONNX models (.onnx files)
- 16 files, including 8 .onnx, 5 .json, 1 .md, 1 .txt
- Last updated 2026-01-24
ONNX files
| File | Size | Download |
|---|---|---|
| onnx/model.onnx | — | Download |
| onnx/model_bnb4.onnx | — | Download |
| onnx/model_fp16.onnx | — | Download |
| onnx/model_int8.onnx | — | Download |
| onnx/model_q4.onnx | — | Download |
| onnx/model_q4f16.onnx | — | Download |
| onnx/model_quantized.onnx | — | Download |
| onnx/model_uint8.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
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
Otis Anti-Spam AI
Go Away Spam!
[» » Hugging Face](https://huggingface.co/Titeiiko/OTIS-Official-Spam-Model)
[» » Github](https://github.com/JewishLewish/Otis)
Table of Contents
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
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.
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
License
Distributed under the BSD-3 License. See LICENSE.txt for more information.
Contact
My Email: lenny@lunes.host
OtisV1
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{'train_runtime': 667.0781, 'train_samples_per_second': 119.926, 'train_steps_per_second': 14.991, 'train_loss': 0.07010261821746826, 'epoch': 10.0}
Model info
Created: 2026-01-24
Updated: 2026-01-24
View on Hugging Face