Instructions to use Neural-Hacker/distilbert_ai_text_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neural-Hacker/distilbert_ai_text_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Neural-Hacker/distilbert_ai_text_detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Neural-Hacker/distilbert_ai_text_detector") model = AutoModelForSequenceClassification.from_pretrained("Neural-Hacker/distilbert_ai_text_detector") - Notebooks
- Google Colab
- Kaggle
Suggestion
#1
by kalashshah19 - opened
You can modify the name to something like "distilbert_ai_detector" to clarify the purpose of Fine tuning the model. Text classifier is a very wide and common concept and so making the name more specific might help.
PS : This is my just a suggestion from my POV. Its your wish to follow or not.
okay, i will change it. thanks for the suggestion
Great !
kalashshah19 changed discussion status to closed