Text Generation
PEFT
Safetensors
English
lora
data-to-text
text-to-data
factual-consistency
hallucination-detection
Instructions to use Loria-MosAIk/xqdt-e2e-gemma3-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Loria-MosAIk/xqdt-e2e-gemma3-4b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-it") model = PeftModel.from_pretrained(base_model, "Loria-MosAIk/xqdt-e2e-gemma3-4b") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from Loria-MosAIk/xqdt-e2e-gemma3-4b: direct link, hf CLI and curl.
- Browser
- Download file 50 Bytes
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https://huggingface.co/Loria-MosAIk/xqdt-e2e-gemma3-4b/resolve/main/.gitattributes
- Command line
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hf download hf://Loria-MosAIk/xqdt-e2e-gemma3-4b/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/Loria-MosAIk/xqdt-e2e-gemma3-4b/resolve/main/.gitattributes
50 Bytes
| *.safetensors filter=lfs diff=lfs merge=lfs -text | |