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
Hugging Face Upload Guide
Typical upload flow:
git lfs install
huggingface-cli repo create your-name/enhanced-replica --type model
git clone https://huggingface.co/your-name/enhanced-replica
cd enhanced-replica
Then copy this repository into the cloned folder and push:
git add .
git commit -m "Initial research asset upload"
git push
Practical notes:
.bin,.safetensors, and.pklfiles are already configured for Git LFS.- If the push is slow, verify that Git LFS is installed and active before the first
git add. - The Qwen base model is not bundled here, so document that requirement clearly in the Hub page or README if you publish the repo.