Instructions to use kenzykhaled/fine_tuned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use kenzykhaled/fine_tuned_model with Transformers:

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

pipe = pipeline("text-generation", model="kenzykhaled/fine_tuned_model")

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

tokenizer = AutoTokenizer.from_pretrained("kenzykhaled/fine_tuned_model")
model = AutoModelForCausalLM.from_pretrained("kenzykhaled/fine_tuned_model", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use kenzykhaled/fine_tuned_model with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/kenzykhaled/fine_tuned_model

SGLang

How to use kenzykhaled/fine_tuned_model 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 "kenzykhaled/fine_tuned_model" \
    --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": "kenzykhaled/fine_tuned_model",
		"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 "kenzykhaled/fine_tuned_model" \
        --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": "kenzykhaled/fine_tuned_model",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Unsloth Desktop
Docker Model Runner
How to use kenzykhaled/fine_tuned_model with Docker Model Runner:
```
docker model run hf.co/kenzykhaled/fine_tuned_model
```

fine_tuned_model

Commit History

Jan 24, 2025

15:01
Adding `safetensors` variant of this model⁠

SFconvertbot

Verified signature
e7f1b31
14:50
Delete adapter_model.safetensors

kenzykhaled

Verified signature
b4b15e0
14:50
Delete adapter_config.json

kenzykhaled

Verified signature
f4420a4
14:45
Trained with Unsloth⁠

kenzykhaled

Verified signature
274ab2c
14:31
Delete adapter_model.safetensors

kenzykhaled

Verified signature
54d1529
14:19
Delete adapter_config.json

kenzykhaled

Verified signature
9ff4576
14:07
Update README.md

kenzykhaled

Verified signature
d1ece67
11:44
Trained with Unsloth⁠

kenzykhaled

Verified signature
e5e8bea
00:41
Trained with Unsloth

kenzykhaled

Verified signature
80b24ec
00:00
Upload model trained with Unsloth⁠

kenzykhaled

Verified signature
cbbe240
00:00
Upload model trained with Unsloth⁠

kenzykhaled

Verified signature
8bd722f

Jan 23, 2025

23:59
Upload README.md with huggingface_hub

kenzykhaled

Verified signature
42181b2
23:59
initial commit

kenzykhaled

Verified signature
2908f17

Commit History

Jan 24, 2025

Adding `safetensors` variant of this model⁠

Delete adapter_model.safetensors

Delete adapter_config.json

Trained with Unsloth⁠

Delete adapter_model.safetensors

Delete adapter_config.json

Update README.md

Trained with Unsloth⁠

Trained with Unsloth

Upload model trained with Unsloth⁠

Upload model trained with Unsloth⁠

Jan 23, 2025

Upload README.md with huggingface_hub

initial commit