Text Classification
Transformers
Safetensors
English
bert
AI text detection
human vs AI classification
BERT fine-tuning
Human vs AI text classification
text-detection
text-embeddings-inference
Instructions to use pritamdeb68/BERTAIDetector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pritamdeb68/BERTAIDetector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pritamdeb68/BERTAIDetector")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pritamdeb68/BERTAIDetector") model = AutoModelForSequenceClassification.from_pretrained("pritamdeb68/BERTAIDetector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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