Text Generation
PEFT
Safetensors
English
lora
data-to-text
text-to-data
factual-consistency
hallucination-detection
Instructions to use Loria-MosAIk/xqdt-e2e-gemma3-270m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Loria-MosAIk/xqdt-e2e-gemma3-270m with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-270m-it") model = PeftModel.from_pretrained(base_model, "Loria-MosAIk/xqdt-e2e-gemma3-270m") - Notebooks
- Google Colab
- Kaggle
File size: 952 Bytes
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"original_base_model_reference_was_machine_local": true,
"published_base_model_name_or_path": "google/gemma-3-270m-it",
"schema_version": 1,
"source_checkpoint_relative_path": "checkpoints/checkpoints_e2e19/output_gemma3_270e2e19/v0-20260214-053509/checkpoint-20925",
"source_commit": "739c84d868f9d32bcf5c150bdf05c56260cfcaf4",
"source_files": {
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"args.json": "d04287028b83f572cae03d0c1e84a769ed9db3f6f0ea8cfa696d670090848913",
"reference_predictions": "a0dc3f4e342973c0588ee7f241585fdcc14e4a28131779a1891f02d6b6f94a7a"
}
}
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