Instructions to use Anvil-ML/detecteur-ia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anvil-ML/detecteur-ia with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Anvil-ML/detecteur-ia")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Anvil-ML/detecteur-ia") model = AutoModelForSequenceClassification.from_pretrained("Anvil-ML/detecteur-ia") - Notebooks
- Google Colab
- Kaggle
AI Detection
A french pretrained classification model that aims to detect whether an input has been generated by a human or by a Large Language Model such as Chat-GPT or LLaMA.
This model is aimed to one day help educators verify if work is done by humans or not. The model will, by design, classify as human-made text that has been generated by AI but rewritten by a human. This is because its aim is to catch pure ai without any human input.
This model is based on on BARThez.
It is pretrained on a corpus of 15 000 of french articles that have been summarized by both humans and AI
- Downloads last month
- 13