Instructions to use mvasiliniuc/iva-codeint-swift-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mvasiliniuc/iva-codeint-swift-small with Transformers:

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

pipe = pipeline("text-generation", model="mvasiliniuc/iva-codeint-swift-small")

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

tokenizer = AutoTokenizer.from_pretrained("mvasiliniuc/iva-codeint-swift-small")
model = AutoModelForCausalLM.from_pretrained("mvasiliniuc/iva-codeint-swift-small", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use mvasiliniuc/iva-codeint-swift-small with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/mvasiliniuc/iva-codeint-swift-small

SGLang

How to use mvasiliniuc/iva-codeint-swift-small 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 "mvasiliniuc/iva-codeint-swift-small" \
    --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": "mvasiliniuc/iva-codeint-swift-small",
		"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 "mvasiliniuc/iva-codeint-swift-small" \
        --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": "mvasiliniuc/iva-codeint-swift-small",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use mvasiliniuc/iva-codeint-swift-small with Docker Model Runner:
```
docker model run hf.co/mvasiliniuc/iva-codeint-swift-small
```

iva-codeint-swift-small

Commit History

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Commit History

Jun 25, 2023

Adding `safetensors` variant of this model⁠

Jun 23, 2023

Add Genial Watter Model

Jun 17, 2023

Add Pious_Sun_35 Final Model

Jun 15, 2023

Upload model

Upload model

Jun 13, 2023

Upload model

Upload tokenizer

Upload tokenizer

Reset entire model

Jun 3, 2023

Upload model

Upload model

Upload tokenizer

Upload model

Upload model

initial commit