Instructions to use sghosts/turkish-gpt2-medium-finetuned-1gb-cX-corpus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use sghosts/turkish-gpt2-medium-finetuned-1gb-cX-corpus with Transformers:

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

pipe = pipeline("text-generation", model="sghosts/turkish-gpt2-medium-finetuned-1gb-cX-corpus")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("sghosts/turkish-gpt2-medium-finetuned-1gb-cX-corpus")
model = AutoModelForCausalLM.from_pretrained("sghosts/turkish-gpt2-medium-finetuned-1gb-cX-corpus")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use sghosts/turkish-gpt2-medium-finetuned-1gb-cX-corpus with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "sghosts/turkish-gpt2-medium-finetuned-1gb-cX-corpus"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "sghosts/turkish-gpt2-medium-finetuned-1gb-cX-corpus",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/sghosts/turkish-gpt2-medium-finetuned-1gb-cX-corpus

SGLang

How to use sghosts/turkish-gpt2-medium-finetuned-1gb-cX-corpus 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 "sghosts/turkish-gpt2-medium-finetuned-1gb-cX-corpus" \
    --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": "sghosts/turkish-gpt2-medium-finetuned-1gb-cX-corpus",
		"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 "sghosts/turkish-gpt2-medium-finetuned-1gb-cX-corpus" \
        --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": "sghosts/turkish-gpt2-medium-finetuned-1gb-cX-corpus",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use sghosts/turkish-gpt2-medium-finetuned-1gb-cX-corpus with Docker Model Runner:
```
docker model run hf.co/sghosts/turkish-gpt2-medium-finetuned-1gb-cX-corpus
```

turkish-gpt2-medium-finetuned-1gb-cX-corpus

This model is a fine-tuned version of ytu-ce-cosmos/turkish-gpt2-medium on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.5434

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 16
total_train_batch_size: 256
total_eval_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.7299	0.0573	200	2.6433
2.6926	0.1147	400	2.6090
2.6536	0.1720	600	2.5891
2.6492	0.2293	800	2.5791
2.627	0.2866	1000	2.5694
2.6162	0.3440	1200	2.5619
2.6192	0.4013	1400	2.5568
2.6585	0.4586	1600	2.5528
2.6232	0.5159	1800	2.5499
2.6252	0.5733	2000	2.5472
2.6295	0.6306	2200	2.5454
2.5898	0.6879	2400	2.5444
2.6553	0.7453	2600	2.5439
2.611	0.8026	2800	2.5435
2.6149	0.8599	3000	2.5435
2.5969	0.9172	3200	2.5434
2.6132	0.9746	3400	2.5434

Framework versions

Transformers 4.50.0
Pytorch 2.5.1+cu124
Datasets 3.6.0
Tokenizers 0.21.1

Downloads last month: -

Safetensors

Model size

0.4B params

Tensor type

BF16

Model tree for sghosts/turkish-gpt2-medium-finetuned-1gb-cX-corpus

Base model

ytu-ce-cosmos/turkish-gpt2-medium

Finetuned

(9)

this model