Image-Text-to-Text
PEFT
Safetensors
Indonesian
English
fine-tuned
receipts
berkerdooo
conversational
Instructions to use berkerdooo/gemma-4-e2b-receipt-json with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use berkerdooo/gemma-4-e2b-receipt-json with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-E2B-it") model = PeftModel.from_pretrained(base_model, "berkerdooo/gemma-4-e2b-receipt-json") - Notebooks
- Google Colab
- Kaggle
Download evaluation.json from berkerdooo/gemma-4-e2b-receipt-json: direct link, hf CLI and curl.
- Browser
- Download file 673 Bytes
-
https://huggingface.co/berkerdooo/gemma-4-e2b-receipt-json/resolve/main/evaluation.json
- Command line
-
hf download hf://berkerdooo/gemma-4-e2b-receipt-json/evaluation.json
-
curl -L -o evaluation.json https://huggingface.co/berkerdooo/gemma-4-e2b-receipt-json/resolve/main/evaluation.json
673 Bytes
| { | |
| "base": { | |
| "precision": 0.0, | |
| "recall": 0.0, | |
| "true_positives": 0, | |
| "gold_count": 1055, | |
| "predicted_count": 0, | |
| "examples": 100, | |
| "field_f1": 0.0, | |
| "valid_json_rate": 0.0, | |
| "total_exact_match": 0.0, | |
| "generation_batch_size": 2, | |
| "content_field_f1": 0.5158912943344081 | |
| }, | |
| "finetuned": { | |
| "precision": 0.8233695652173914, | |
| "recall": 0.861611374407583, | |
| "true_positives": 909, | |
| "gold_count": 1055, | |
| "predicted_count": 1104, | |
| "examples": 100, | |
| "field_f1": 0.8420565076424271, | |
| "valid_json_rate": 1.0, | |
| "total_exact_match": 0.86, | |
| "generation_batch_size": 2, | |
| "content_field_f1": 0.8420565076424271 | |
| } | |
| } |