Instructions to use bayandorian/gpt2-kurdish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use bayandorian/gpt2-kurdish with Transformers:

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

pipe = pipeline("text-generation", model="bayandorian/gpt2-kurdish")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("bayandorian/gpt2-kurdish")
model = AutoModelForCausalLM.from_pretrained("bayandorian/gpt2-kurdish")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use bayandorian/gpt2-kurdish with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/bayandorian/gpt2-kurdish

SGLang

How to use bayandorian/gpt2-kurdish 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 "bayandorian/gpt2-kurdish" \
    --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": "bayandorian/gpt2-kurdish",
		"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 "bayandorian/gpt2-kurdish" \
        --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": "bayandorian/gpt2-kurdish",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use bayandorian/gpt2-kurdish with Docker Model Runner:
```
docker model run hf.co/bayandorian/gpt2-kurdish
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

use this :

from transformers import pipeline,GPT2Tokenizer
test_input = "حەزم"
tokenizer = GPT2Tokenizer.from_pretrained("bayandorian/gpt2-kurdish")
generator = pipeline('text-generation', model='bayandorian/gpt2-kurdish',device="cuda")
sample = generator(test_input, temperature=1.2, top_k=50, top_p=0.9, repetition_penalty=1.2, pad_token_id = tokenizer.eos_token_id)
print(sample)

Downloads last month: 4

Model tree for bayandorian/gpt2-kurdish

Base model

openai-community/gpt2

Finetuned

(2167)

this model

Quantizations

1 model

bayandorian
/

gpt2-kurdish

Model tree for bayandorian/gpt2-kurdish

Space using bayandorian/gpt2-kurdish 1