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
| 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 | |