Instructions to use c2p-cmd/gemma-2-2b-quote-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use c2p-cmd/gemma-2-2b-quote-generator with Transformers:

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

pipe = pipeline("text-generation", model="c2p-cmd/gemma-2-2b-quote-generator")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("c2p-cmd/gemma-2-2b-quote-generator", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use c2p-cmd/gemma-2-2b-quote-generator with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "c2p-cmd/gemma-2-2b-quote-generator"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "c2p-cmd/gemma-2-2b-quote-generator",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/c2p-cmd/gemma-2-2b-quote-generator

SGLang

How to use c2p-cmd/gemma-2-2b-quote-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 "c2p-cmd/gemma-2-2b-quote-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": "c2p-cmd/gemma-2-2b-quote-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 "c2p-cmd/gemma-2-2b-quote-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": "c2p-cmd/gemma-2-2b-quote-generator",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use c2p-cmd/gemma-2-2b-quote-generator with Docker Model Runner:
```
docker model run hf.co/c2p-cmd/gemma-2-2b-quote-generator
```

c2p-cmd commited on Nov 2, 2024

Commit

2aef08d

verified ·

1 Parent(s): 967a03d

Update README.md

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@@ -7,6 +7,9 @@ tags:
 - trl
 - sft
 licence: license
 ---
 # Model Card for outputs
@@ -31,6 +34,21 @@ print(output["generated_text"])
 This model was trained with SFT.
 ### Framework versions
 - TRL: 0.12.0

 - trl
 - sft
 licence: license
+language:
+- en
+pipeline_tag: text-generation
 ---
 # Model Card for outputs
 This model was trained with SFT.
+## Inference
+```python
+import os
+from dotenv import load_dotenv
+load_dotenv('.env')
+token = os.getenv('token')
+from transformers import pipeline
+pipe = pipeline('text-generation', "c2p-cmd/gemma-2-2b-quote-generator", token=token, device_map="mps")
+print(pipe("Quote: I've succeeded", max_new_tokens=40))
+```
 ### Framework versions
 - TRL: 0.12.0