Instructions to use kacperwikiel/polish-ocr-lora-broken with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use kacperwikiel/polish-ocr-lora-broken with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("PaddlePaddle/PaddleOCR-VL")
model = PeftModel.from_pretrained(base_model, "kacperwikiel/polish-ocr-lora-broken")

Transformers

How to use kacperwikiel/polish-ocr-lora-broken with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="kacperwikiel/polish-ocr-lora-broken")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("kacperwikiel/polish-ocr-lora-broken", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use kacperwikiel/polish-ocr-lora-broken with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "kacperwikiel/polish-ocr-lora-broken"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "kacperwikiel/polish-ocr-lora-broken",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/kacperwikiel/polish-ocr-lora-broken

SGLang

How to use kacperwikiel/polish-ocr-lora-broken with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "kacperwikiel/polish-ocr-lora-broken" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "kacperwikiel/polish-ocr-lora-broken",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "kacperwikiel/polish-ocr-lora-broken" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "kacperwikiel/polish-ocr-lora-broken",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use kacperwikiel/polish-ocr-lora-broken with Docker Model Runner:
```
docker model run hf.co/kacperwikiel/polish-ocr-lora-broken
```

Polish OCR LoRA (BROKEN - DO NOT USE IN PRODUCTION)

WARNING: This model is broken and produces garbage output. It is uploaded for archival/experimental purposes only.

Status: FAILED EXPERIMENT

This is a LoRA adapter fine-tuned on PaddleOCR-VL for Polish OCR tasks. The training did not converge properly and the model outputs are unreliable.

Known Issues

Model produces hallucinated text
Poor accuracy on Polish characters (especially: a, e, o, s, z, n, c, l)
Inconsistent output quality
May output repetitive or nonsensical text

Model Details

Base Model: PaddlePaddle/PaddleOCR-VL
Adapter Type: LoRA (r=16, alpha=32)
Target Modules: q_proj, v_proj, o_proj, k_proj
Task: Polish document OCR (attempted)
Language: Polish
Training Data: Synthetic Polish OCR dataset (10k samples)
Framework: PEFT 0.18.0

Why Upload a Broken Model?

Transparency: To document what doesn't work
Reproducibility: Others can learn from this failure
Baseline: Can be used as a negative example for benchmarking

Training Configuration

LoRA rank: 16
LoRA alpha: 32
Dropout: 0.05
Checkpoints: 846 steps

Do Not Use For

Production OCR systems
Any task requiring accurate text extraction
Anything where correctness matters

License

Apache 2.0

Framework Versions

PEFT 0.18.0
Transformers (latest at time of training)

Downloads last month: 4

Model tree for kacperwikiel/polish-ocr-lora-broken

Base model

baidu/ERNIE-4.5-0.3B-Paddle

Finetuned

PaddlePaddle/PaddleOCR-VL

Adapter

(7)

this model