Instructions to use halilneed/turkish-pii-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use halilneed/turkish-pii-detection with Transformers:

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

pipe = pipeline("text-generation", model="halilneed/turkish-pii-detection")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("halilneed/turkish-pii-detection")
model = AutoModelForCausalLM.from_pretrained("halilneed/turkish-pii-detection", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use halilneed/turkish-pii-detection with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "halilneed/turkish-pii-detection"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "halilneed/turkish-pii-detection",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/halilneed/turkish-pii-detection

SGLang

How to use halilneed/turkish-pii-detection 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 "halilneed/turkish-pii-detection" \
    --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": "halilneed/turkish-pii-detection",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "halilneed/turkish-pii-detection" \
        --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": "halilneed/turkish-pii-detection",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use halilneed/turkish-pii-detection with Docker Model Runner:
```
docker model run hf.co/halilneed/turkish-pii-detection
```

turkish-pii-detection

Commit History

Oct 25 8 days ago

21:04
Card: answer block, widget examples, demo badge, tags, related models; remove Gumroad links

halilneed

Verified signature
3de74b6
15:53
Model card: link to model page on halilneed.agency

halilneed

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aee5f20
15:47
Model card: top CTA, TR kit link, accurate intro

halilneed

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9360694
15:30
Improve model card: bilingual intro, FAQ, resources

halilneed

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6a81667

Oct 15 18 days ago

17:12
Link the card to halilneed.agency and the personal data guide

halilneed

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350b2f8

Oct 5 28 days ago

18:15
Link the interactive client-side browser demo and document quantization limits

halilneed

Verified signature
25ee1e3
17:25
Add English technical guide and tested policy examples while preserving Turkish documentation

halilneed

Verified signature
abd0512
11:10
Clarify Turkish PII masking usage, metadata and FAQ

halilneed

Verified signature
86842e3
08:43
Update README.md

halilneed

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2864471

Oct 2

08:33
Link the BSEBY bank data classifier

halilneed

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19c6c7d

Sep 30

18:30
v02: 0.944 exact match (0.880 in v01), teacher-aligned fine-tune + WiSE-FT⁠

halilneed

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0a1bb5b

Sep 29

18:03
Add Medium article link to model card

halilneed

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a628dcf

Sep 28

14:52
Remove model comparison table and author credit line

halilneed

Verified signature
6010dc9
14:37
Remove citation block from model card

halilneed

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5fec581
14:35
Shorten model card, Turkish only, drop melikegks row

halilneed

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8482c54
14:16
Update model card: credit starting checkpoint, fix comparison table, link companion repo

halilneed

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59032ef

Sep 27

06:07
Update README.md

halilneed

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37f0c06

Sep 23

04:47
Update README.md

Halil Atasoy

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db008b3

Sep 17

08:51
Upload folder using huggingface_hub

Halil Atasoy

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4c25b2d
08:44
Upload folder using huggingface_hub

Halil Atasoy

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8dc8448
08:43
initial commit

Halil Atasoy

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7d40154

Commit History

Oct 25 8 days ago

Card: answer block, widget examples, demo badge, tags, related models; remove Gumroad links

Model card: link to model page on halilneed.agency

Model card: top CTA, TR kit link, accurate intro

Improve model card: bilingual intro, FAQ, resources

Oct 15 18 days ago

Link the card to halilneed.agency and the personal data guide

Oct 5 28 days ago

Link the interactive client-side browser demo and document quantization limits

Add English technical guide and tested policy examples while preserving Turkish documentation

Clarify Turkish PII masking usage, metadata and FAQ

Update README.md

Oct 2

Link the BSEBY bank data classifier

Sep 30

v02: 0.944 exact match (0.880 in v01), teacher-aligned fine-tune + WiSE-FT⁠

Sep 29

Add Medium article link to model card

Sep 28

Remove model comparison table and author credit line

Remove citation block from model card

Shorten model card, Turkish only, drop melikegks row

Update model card: credit starting checkpoint, fix comparison table, link companion repo

Sep 27

Update README.md

Sep 23

Update README.md

Sep 17

Upload folder using huggingface_hub

Upload folder using huggingface_hub

initial commit