Text Generation
Transformers
Safetensors
Arabic
arabic-gpt
feature-extraction
torch
custom
GPT
custom_code
Instructions to use alphatechlogics/FaseehGPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alphatechlogics/FaseehGPT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="alphatechlogics/FaseehGPT", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("alphatechlogics/FaseehGPT", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use alphatechlogics/FaseehGPT with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "alphatechlogics/FaseehGPT" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "alphatechlogics/FaseehGPT", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/alphatechlogics/FaseehGPT
- SGLang
How to use alphatechlogics/FaseehGPT 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 "alphatechlogics/FaseehGPT" \ --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": "alphatechlogics/FaseehGPT", "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 "alphatechlogics/FaseehGPT" \ --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": "alphatechlogics/FaseehGPT", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use alphatechlogics/FaseehGPT with Docker Model Runner:
docker model run hf.co/alphatechlogics/FaseehGPT
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README.md
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- GPT
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---
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# Model Card for FaseehGPT
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## Model Details
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* **Model Type**: Decoder-only Transformer (GPT-style)
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* **Repository**: [alphatechlogics/FaseehGPT](https://huggingface.co/alphatechlogics/FaseehGPT)
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* **Version**: 1.1
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* **Date**: July 10, 2025
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* **License**: Apache 2.0
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* **Framework**: PyTorch, Hugging Face Transformers
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```bibtex
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@misc{faseehgpt2025,
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title = {FaseehGPT: An Arabic Language Model},
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author = {
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year = {2025},
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url = {https://huggingface.co/alphatechlogics/FaseehGPT}
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}
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- GPT
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---
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# Model Card for FaseehGPT
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## Model Details
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* **Model Type**: Decoder-only Transformer (GPT-style)
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* **Repository**: [alphatechlogics/FaseehGPT](https://huggingface.co/alphatechlogics/FaseehGPT)
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* **Version**: 1.1
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* **Builder: *Alphatechlogics*** ๐ [GitHub](https://github.com/alphatechlogics) | ๐ค [Hugging Face](https://huggingface.co/alphatechlogics) | ๐ผ [LinkedIn](https://www.linkedin.com/company/alphatechlogics)
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* **Developer: *Ahsan Umar*** ๐ [GitHub](https://github.com/codewithdark-git) | ๐ค [Hugging Face](https://huggingface.co/codewithdark) | ๐ผ [LinkedIn](https://linkedin.com/in/codewithdark)
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* **Date**: July 10, 2025
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* **License**: Apache 2.0
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* **Framework**: PyTorch, Hugging Face Transformers
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```bibtex
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@misc{faseehgpt2025,
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title = {FaseehGPT: An Arabic Language Model},
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author = {Ahsan Umar, Rohma},
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year = {2025},
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url = {https://huggingface.co/alphatechlogics/FaseehGPT}
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}
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