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
File size: 129 Bytes
413919d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f54d0c32f2c44ec22f681d78c2aa73a6e1a569a3d41fc04c546cf10c35b88388
size 4984
|