Instructions to use Lau123/detect_ai_generated_text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lau123/detect_ai_generated_text with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Lau123/detect_ai_generated_text")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Lau123/detect_ai_generated_text") model = AutoModelForSequenceClassification.from_pretrained("Lau123/detect_ai_generated_text", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Lau123/detect_ai_generated_text: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/Lau123/detect_ai_generated_text/resolve/main/training_args.bin
- Command line
-
hf download hf://Lau123/detect_ai_generated_text/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Lau123/detect_ai_generated_text/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 106ce8381cfb914cc61d07b30ca2da154ba4a2f65168a87f4dd0f79c9ecd5239
- Size of remote file:
- 4.73 kB
- SHA256:
- 250ad906f702ca8cbb42a1ab73dd32e7db9aa49672b7e412d51a0b00f6cfbf58
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