Instructions to use MayZhou/e5-small-lora-ai-generated-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayZhou/e5-small-lora-ai-generated-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayZhou/e5-small-lora-ai-generated-detector")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayZhou/e5-small-lora-ai-generated-detector") model = AutoModelForSequenceClassification.from_pretrained("MayZhou/e5-small-lora-ai-generated-detector", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from MayZhou/e5-small-lora-ai-generated-detector: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
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https://huggingface.co/MayZhou/e5-small-lora-ai-generated-detector/resolve/main/tokenizer.json
- Command line
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hf download hf://MayZhou/e5-small-lora-ai-generated-detector/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/MayZhou/e5-small-lora-ai-generated-detector/resolve/main/tokenizer.json
711 kB
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