Instructions to use Sinadavinc80/model-card-template with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Sinadavinc80/model-card-template with Transformers:

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

pipe = pipeline("text-generation", model="Sinadavinc80/model-card-template")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Sinadavinc80/model-card-template", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Sinadavinc80/model-card-template with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Sinadavinc80/model-card-template"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Sinadavinc80/model-card-template",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Sinadavinc80/model-card-template

SGLang

How to use Sinadavinc80/model-card-template 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 "Sinadavinc80/model-card-template" \
    --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": "Sinadavinc80/model-card-template",
		"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 "Sinadavinc80/model-card-template" \
        --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": "Sinadavinc80/model-card-template",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Sinadavinc80/model-card-template with Docker Model Runner:
```
docker model run hf.co/Sinadavinc80/model-card-template
```

model-card-template

The reference model card template for models published under the Sinadavinc80 namespace, maintained by @Sinadavinc80.

It follows the Hugging Face default model card structure so that every future model in this account inherits a consistent, complete, and honest document.

Naming note: repositories in this account previously used the placeholder id my-cool-model, which is the sample id used throughout the official Hugging Face huggingface_hub model-card documentation (Create and share Model Cards). This repo makes that template concrete and reusable.

Model Details

Model Description

Developed by: Sinadavinc80
Model type: Model card template / reference
Language(s): English
License: Apache-2.0

Model Sources

Repository: https://hf.co/Sinadavinc80/model-card-template

Uses

Direct Use

Use this repository as a starting point when publishing a new model. Replace the sections below with the real details of your model.

Out-of-Scope Use

Any production inference use requires actual weights to be uploaded first. This repo currently ships documentation and metadata only.

How to Use

from huggingface_hub import ModelCard, ModelCardData

card_data = ModelCardData(
    language="en",
    license="apache-2.0",
    library_name="transformers",
    tags=["text-generation"],
)
card = ModelCard.from_template(
    card_data,
    model_id="model-card-template",
    model_description="this model does this and that",
    developers="Sinadavinc80",
)
card.save("README.md")
print(card)

Training Details

Training Data

To be documented per model.

Training Procedure

To be documented per model.

Evaluation

To be documented per model.

Environmental Impact

To be documented per model.

Citation

@misc{sinadavinc80_model_card_template,
  title  = {model-card-template: reference model card},
  author = {Sinadavinc80},
  year   = {2026},
  url    = {https://hf.co/Sinadavinc80/model-card-template}
}

Model Card Authors

Sinadavinc80

Model Card Contact

Open an issue in this repository.

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