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
Download provenance.json from Loria-MosAIk/xqdt-e2e-gemma3-270m: direct link, hf CLI and curl.
- Browser
- Download file 952 Bytes
-
https://huggingface.co/Loria-MosAIk/xqdt-e2e-gemma3-270m/resolve/main/provenance.json
- Command line
-
hf download hf://Loria-MosAIk/xqdt-e2e-gemma3-270m/provenance.json
-
curl -L -o provenance.json https://huggingface.co/Loria-MosAIk/xqdt-e2e-gemma3-270m/resolve/main/provenance.json
952 Bytes
| { | |
| "original_base_model_reference_sha256": "95c9406dc7e0a225590d4a4664170666646d776937fc3fff3ef049fc0019d88c", | |
| "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": { | |
| "adapter_config.json": "ab3564f0eb86e20eb28d32c43a2aa682be44dc78b178016def2aef8e14b8e3ae", | |
| "adapter_model.safetensors": "cdfffafbcd31a8b12810a4bb20eb21f7ea337622f34f7566aef91ad08307ce3e", | |
| "additional_config.json": "c7799462ebedae6557ffad31566029e2d2f958b7b40e46e972cf901bcaf45733", | |
| "args.json": "d04287028b83f572cae03d0c1e84a769ed9db3f6f0ea8cfa696d670090848913", | |
| "reference_predictions": "a0dc3f4e342973c0588ee7f241585fdcc14e4a28131779a1891f02d6b6f94a7a" | |
| } | |
| } | |