Instructions to use Quazim0t0/Anti-DEGR-Toolkit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Quazim0t0/Anti-DEGR-Toolkit with Transformers:

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

pipe = pipeline("text-generation", model="Quazim0t0/Anti-DEGR-Toolkit")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Quazim0t0/Anti-DEGR-Toolkit", device_map="auto")

PEFT
How to use Quazim0t0/Anti-DEGR-Toolkit with PEFT:
```
Task type is invalid.
```
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Quazim0t0/Anti-DEGR-Toolkit with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Quazim0t0/Anti-DEGR-Toolkit"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Quazim0t0/Anti-DEGR-Toolkit",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Quazim0t0/Anti-DEGR-Toolkit

SGLang

How to use Quazim0t0/Anti-DEGR-Toolkit 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 "Quazim0t0/Anti-DEGR-Toolkit" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Quazim0t0/Anti-DEGR-Toolkit",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "Quazim0t0/Anti-DEGR-Toolkit" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Quazim0t0/Anti-DEGR-Toolkit",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Quazim0t0/Anti-DEGR-Toolkit with Docker Model Runner:
```
docker model run hf.co/Quazim0t0/Anti-DEGR-Toolkit
```

Anti-DEGR-Toolkit

Commit History

Aug 24

10:13
Rewrite as public Anti-DEGR ToolKit: HF tokenizer fallback, usage guide, local scripts

Quazim0t0

Verified signature
131574e

Aug 14

00:51
remove accidentally uploaded __pycache__

Quazim0t0

Verified signature
4a07c29
00:50
Anti-DEGR: add R (near-duplicate repetition)⁠

Quazim0t0

Verified signature
72701ca

Jul 21

13:48
Anti-DEG toolkit: full pipeline, docs, licences

Quazim0t0

Verified signature
07660b4
13:48
initial commit

Quazim0t0

Verified signature
de935ad

Quazim0t0
/

Anti-DEGR-Toolkit

Commit History

Aug 24

Rewrite as public Anti-DEGR ToolKit: HF tokenizer fallback, usage guide, local scripts

Aug 14

remove accidentally uploaded pycache

Anti-DEGR: add R (near-duplicate repetition)⁠

Jul 21

Anti-DEG toolkit: full pipeline, docs, licences

initial commit

Commit History

Aug 24

Rewrite as public Anti-DEGR ToolKit: HF tokenizer fallback, usage guide, local scripts

Aug 14

remove accidentally uploaded __pycache__

Anti-DEGR: add R (near-duplicate repetition)⁠

Jul 21

Anti-DEG toolkit: full pipeline, docs, licences

initial commit

remove accidentally uploaded pycache