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 requirements.txt from Loria-MosAIk/xqdt-e2e-gemma3-4b: direct link, hf CLI and curl.
- Browser
- Download file 120 Bytes
-
https://huggingface.co/Loria-MosAIk/xqdt-e2e-gemma3-4b/resolve/main/requirements.txt
- Command line
-
hf download hf://Loria-MosAIk/xqdt-e2e-gemma3-4b/requirements.txt
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curl -L -o requirements.txt https://huggingface.co/Loria-MosAIk/xqdt-e2e-gemma3-4b/resolve/main/requirements.txt
120 Bytes
| torch==2.10.0 | |
| ms-swift==4.1.3 | |
| transformers==4.57.6 | |
| peft==0.19.1 | |
| huggingface-hub==0.36.2 | |
| safetensors==0.7.0 | |
| vllm==0.18.1 | |