Text Generation
PEFT
Safetensors
English
lora
data-to-text
text-to-data
factual-consistency
hallucination-detection
Instructions to use Loria-MosAIk/xqdt-e2e-gemma3-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Loria-MosAIk/xqdt-e2e-gemma3-1b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-1b-it") model = PeftModel.from_pretrained(base_model, "Loria-MosAIk/xqdt-e2e-gemma3-1b") - Notebooks
- Google Colab
- Kaggle
Download additional_config.json from Loria-MosAIk/xqdt-e2e-gemma3-1b: direct link, hf CLI and curl.
- Browser
- Download file 67 Bytes
-
https://huggingface.co/Loria-MosAIk/xqdt-e2e-gemma3-1b/resolve/main/additional_config.json
- Command line
-
hf download hf://Loria-MosAIk/xqdt-e2e-gemma3-1b/additional_config.json
-
curl -L -o additional_config.json https://huggingface.co/Loria-MosAIk/xqdt-e2e-gemma3-1b/resolve/main/additional_config.json
67 Bytes
| {"lora_dtype": null, "lorap_lr_ratio": null, "lorap_emb_lr": 1e-06} |