Instructions to use HooshvareLab/gpt2-fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HooshvareLab/gpt2-fa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="HooshvareLab/gpt2-fa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("HooshvareLab/gpt2-fa") model = AutoModelForCausalLM.from_pretrained("HooshvareLab/gpt2-fa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use HooshvareLab/gpt2-fa with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "HooshvareLab/gpt2-fa" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "HooshvareLab/gpt2-fa", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/HooshvareLab/gpt2-fa
- SGLang
How to use HooshvareLab/gpt2-fa 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 "HooshvareLab/gpt2-fa" \ --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": "HooshvareLab/gpt2-fa", "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 "HooshvareLab/gpt2-fa" \ --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": "HooshvareLab/gpt2-fa", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use HooshvareLab/gpt2-fa with Docker Model Runner:
docker model run hf.co/HooshvareLab/gpt2-fa
Commit History
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Update README.md
Verified signatureThe ParsGPT2 model is truly impressive! We would like to contribute by updating the README to include information about the base model. This is to help address the lack of details in the model card.78e9648
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upload flax model
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allow flax
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max seq provided
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Hello, persian gpt2
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initial commit
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