Instructions to use Varun53/roberta-large-AI-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Varun53/roberta-large-AI-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Varun53/roberta-large-AI-detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Varun53/roberta-large-AI-detection") model = AutoModelForSequenceClassification.from_pretrained("Varun53/roberta-large-AI-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Varun53/roberta-large-AI-detection: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/Varun53/roberta-large-AI-detection/resolve/main/training_args.bin
- Command line
-
hf download hf://Varun53/roberta-large-AI-detection/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Varun53/roberta-large-AI-detection/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- d6c92a5418ceffbb072068ed712aea5ba95722d955e2149e1a0230cc0cd8de21
- Size of remote file:
- 4.98 kB
- SHA256:
- f54d0c32f2c44ec22f681d78c2aa73a6e1a569a3d41fc04c546cf10c35b88388
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