Instructions to use temporary0-0name/run_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use temporary0-0name/run_2 with Transformers:

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

pipe = pipeline("text-generation", model="temporary0-0name/run_2")

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

tokenizer = AutoTokenizer.from_pretrained("temporary0-0name/run_2")
model = AutoModelForCausalLM.from_pretrained("temporary0-0name/run_2", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use temporary0-0name/run_2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "temporary0-0name/run_2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "temporary0-0name/run_2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/temporary0-0name/run_2

SGLang

How to use temporary0-0name/run_2 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 "temporary0-0name/run_2" \
    --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": "temporary0-0name/run_2",
		"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 "temporary0-0name/run_2" \
        --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": "temporary0-0name/run_2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use temporary0-0name/run_2 with Docker Model Runner:
```
docker model run hf.co/temporary0-0name/run_2
```

run_2

Commit History

Oct 19, 2025

18:31
Adding `safetensors` variant of this model⁠

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Commit History

Oct 19, 2025

Adding `safetensors` variant of this model⁠

Nov 8, 2023

End of training

Training in progress, step 800

Training in progress, step 600

Training in progress, step 450

Training in progress, step 300

Training in progress, step 50

Nov 7, 2023

Training in progress, step 900

Training in progress, step 750

Training in progress, step 600

Training in progress, step 450

Training in progress, step 300

Training in progress, step 150

Training in progress, step 50

Training in progress, step 50

initial commit