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:
- 2e97af4e90238ca9a0317e9ebb0448c1f5689fdc3b38e3e9ed1ea76743365b2c
- Size of remote file:
- 3.18 MB
- SHA256:
- b0fde53b027e193aa2aa30376801a91e667c2a2429477ce7f02e8506cb9d23b5
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