Instructions to use Fantominsight/YAPPERTAR-ai-5B-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Fantominsight/YAPPERTAR-ai-5B-1.0 with Transformers:

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

pipe = pipeline("text-generation", model="Fantominsight/YAPPERTAR-ai-5B-1.0")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Fantominsight/YAPPERTAR-ai-5B-1.0", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Fantominsight/YAPPERTAR-ai-5B-1.0 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Fantominsight/YAPPERTAR-ai-5B-1.0"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Fantominsight/YAPPERTAR-ai-5B-1.0",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Fantominsight/YAPPERTAR-ai-5B-1.0

SGLang

How to use Fantominsight/YAPPERTAR-ai-5B-1.0 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 "Fantominsight/YAPPERTAR-ai-5B-1.0" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Fantominsight/YAPPERTAR-ai-5B-1.0",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "Fantominsight/YAPPERTAR-ai-5B-1.0" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Fantominsight/YAPPERTAR-ai-5B-1.0",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Fantominsight/YAPPERTAR-ai-5B-1.0 with Docker Model Runner:
```
docker model run hf.co/Fantominsight/YAPPERTAR-ai-5B-1.0
```

yappertar4 commited on about 1 month ago

Commit

5448f96

verified ·

1 Parent(s): 285e037

Update README.md

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README.md +8 -2

README.md CHANGED Viewed

@@ -1,9 +1,15 @@
 ---
-license: mit
 language:
 - ru
 - en
 - zh
 pipeline_tag: text-generation
 library_name: transformers
 tags:
@@ -17,5 +23,5 @@ datasets:
 - MultiTrainer56-108M
 base_model:
 - YAPPERTAR_ai_based_on_miscrosoft_phi4
-text:
 ---

 ---
+license: apache-2.0
 language:
 - ru
 - en
 - zh
+- pt
+- es
+- el
+- ka
+- uk
+- ja
 pipeline_tag: text-generation
 library_name: transformers
 tags:
 - MultiTrainer56-108M
 base_model:
 - YAPPERTAR_ai_based_on_miscrosoft_phi4
+text: null
 ---