Text Classification
Transformers
Safetensors
Chinese
chinese
ai-text-detection
ensemble
bert
roberta
qwen
lora
research
dataset
Instructions to use LUCIFerace/enhanced-replica-model-pack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LUCIFerace/enhanced-replica-model-pack with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LUCIFerace/enhanced-replica-model-pack")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LUCIFerace/enhanced-replica-model-pack", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97900faac6f870e27fd8e7a5b9742c91670df024762e6cd4c2ec3de3629af0bf
- Size of remote file:
- 411 MB
- SHA256:
- 23669d349745880a628691a6f5ba420db8b97b04e2c9a5cd29f7180f853d5d86
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