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: | |
| ```bash | |
| 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: | |
| ```bash | |
| git add . | |
| git commit -m "Initial research asset upload" | |
| git push | |
| ``` | |
| Practical notes: | |
| - `.bin`, `.safetensors`, and `.pkl` files 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. | |