Instructions to use CodeferSystem/GPT2-Hacker-password-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use CodeferSystem/GPT2-Hacker-password-generator with Transformers:

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

pipe = pipeline("text-generation", model="CodeferSystem/GPT2-Hacker-password-generator")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("CodeferSystem/GPT2-Hacker-password-generator")
model = AutoModelForCausalLM.from_pretrained("CodeferSystem/GPT2-Hacker-password-generator")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use CodeferSystem/GPT2-Hacker-password-generator with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "CodeferSystem/GPT2-Hacker-password-generator"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "CodeferSystem/GPT2-Hacker-password-generator",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/CodeferSystem/GPT2-Hacker-password-generator

SGLang

How to use CodeferSystem/GPT2-Hacker-password-generator 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 "CodeferSystem/GPT2-Hacker-password-generator" \
    --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": "CodeferSystem/GPT2-Hacker-password-generator",
		"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 "CodeferSystem/GPT2-Hacker-password-generator" \
        --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": "CodeferSystem/GPT2-Hacker-password-generator",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use CodeferSystem/GPT2-Hacker-password-generator with Docker Model Runner:
```
docker model run hf.co/CodeferSystem/GPT2-Hacker-password-generator
```

CodeferSystem commited on Apr 6

Commit

8f4b267

verified ·

1 Parent(s): 235f3a5

Update README.md

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README.md CHANGED Viewed

@@ -85,6 +85,9 @@ print(generate_answer(question))  # Print the generated password
 - xD2PZ5@kz_hFq|W=
 - h=rZ?^<Qp~7&z7XZ
-## Fine-tuned data
 The dataset on which the model was fine-tuned was uploaded to the public.
-CodeferSystem/GPT2-Hacker-password-generator-dataset

 - xD2PZ5@kz_hFq|W=
 - h=rZ?^<Qp~7&z7XZ
+## Dataset of this model
 The dataset on which the model was fine-tuned was uploaded to the public.
+[Dataset this model](CodeferSystem/GPT2-Hacker-password-generator-dataset)
+## More improved model
+[GPT-2-Hacker-password-generator-Medium](CodeferSystem/GPT2-Hacker-password-generator-Medium)