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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9234ca2edb3ae6a43699a863dd2af722f496101a29a26c50e7fa4acf489fad1
- Size of remote file:
- 3.2 MB
- SHA256:
- 95737cfacfc1ee92884faadb7b7095535df9f841f2e1c138ccdd3682bdfe8b20
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