Text Classification
Transformers
Safetensors
English
bert
ai-generated-text-detection
hc3
text-embeddings-inference
Instructions to use xw131/hw1-hc3-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xw131/hw1-hc3-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xw131/hw1-hc3-detector")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xw131/hw1-hc3-detector") model = AutoModelForSequenceClassification.from_pretrained("xw131/hw1-hc3-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
HC3 AI-Generated Text Detector
This model was fine-tuned on the HC3 dataset to classify text as either human-written or ChatGPT-generated.
Results
- Baseline accuracy (frozen sentence embeddings + logistic regression): 0.8449
- Fine-tuned test accuracy: 0.9728
Base Model
sentence-transformers/all-MiniLM-L6-v2sentence-transformers/all-MiniLM-L6-v2
- Downloads last month
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Model tree for xw131/hw1-hc3-detector
Base model
nreimers/MiniLM-L6-H384-uncased Quantized
sentence-transformers/all-MiniLM-L6-v2