Instructions to use SineWick/AITextChecker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SineWick/AITextChecker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SineWick/AITextChecker")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SineWick/AITextChecker", dtype="auto") - Notebooks
- Google Colab
- Kaggle
metadata
language:
- en
metrics:
- accuracy
- precision
- recall
- f1
base_model:
- sentence-transformers/all-MiniLM-L6-v2
pipeline_tag: text-classification
library_name: transformers
tags:
- ai-detection
- text-classification
- binary-classification