Text Classification
Transformers
Safetensors
English
distilbert
ai-detection
nlp
responsible-ai
fairness
Eval Results (legacy)
text-embeddings-inference
Instructions to use Elia43/distilbert-ai-text-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elia43/distilbert-ai-text-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Elia43/distilbert-ai-text-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Elia43/distilbert-ai-text-detector") model = AutoModelForSequenceClassification.from_pretrained("Elia43/distilbert-ai-text-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Elia43/distilbert-ai-text-detector: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
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https://huggingface.co/Elia43/distilbert-ai-text-detector/resolve/main/tokenizer.json
- Command line
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hf download hf://Elia43/distilbert-ai-text-detector/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Elia43/distilbert-ai-text-detector/resolve/main/tokenizer.json
711 kB
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