Instructions to use Enlightir/AI_Human_Text_Detection_40K_roberta-base-openai-detector-second-checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Enlightir/AI_Human_Text_Detection_40K_roberta-base-openai-detector-second-checkpoint with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Enlightir/AI_Human_Text_Detection_40K_roberta-base-openai-detector-second-checkpoint")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Enlightir/AI_Human_Text_Detection_40K_roberta-base-openai-detector-second-checkpoint") model = AutoModelForSequenceClassification.from_pretrained("Enlightir/AI_Human_Text_Detection_40K_roberta-base-openai-detector-second-checkpoint") - Notebooks
- Google Colab
- Kaggle