Text Classification
Transformers
Safetensors
modernbert
ai-content-detection
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AICodexLab/answerdotai-ModernBERT-base-ai-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AICodexLab/answerdotai-ModernBERT-base-ai-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AICodexLab/answerdotai-ModernBERT-base-ai-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AICodexLab/answerdotai-ModernBERT-base-ai-detector") model = AutoModelForSequenceClassification.from_pretrained("AICodexLab/answerdotai-ModernBERT-base-ai-detector", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba7ef0548b0827825473ffc191e694a0b5c5e1da722666d61ffdb02c344b4031
- Size of remote file:
- 5.3 kB
- SHA256:
- aff3e7fa490e603305ba4ecbb63b75192b51e11637c2d1584e82ccb5afab7535
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