Text Generation
PEFT
Safetensors
Romanian
English
relation-extraction
romanian
cross-lingual
qlora
lora
end-to-end
conversational
Instructions to use DS4AI-UPB/gemma4-ro-e2e-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DS4AI-UPB/gemma4-ro-e2e-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/export/home/acs/prof/dragos.vasile2603/synasc2026/models/gemma-4-31b-it") model = PeftModel.from_pretrained(base_model, "DS4AI-UPB/gemma4-ro-e2e-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c62336ad134cad6f154d84eb0e5a5fa9ca17cd665ef3ba5ac4fd02b1486760b4
- Size of remote file:
- 32.2 MB
- SHA256:
- cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f
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