Text Classification
Transformers
Safetensors
ONNX
English
distilbert
ai-detection
education
text-embeddings-inference
Instructions to use darwinkernelpanic/ai-detector-pgx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darwinkernelpanic/ai-detector-pgx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="darwinkernelpanic/ai-detector-pgx")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("darwinkernelpanic/ai-detector-pgx") model = AutoModelForSequenceClassification.from_pretrained("darwinkernelpanic/ai-detector-pgx") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- add0be545e5a55b5d927462af2e45da42e772b2c838cbde163dbaeaa1da8197a
- Size of remote file:
- 265 MB
- SHA256:
- aab0c533f64813f925f8e037e2b0269a1d933dafcc685ffc48e9a5ed4d36fb49
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