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
Update README.md
Browse files
README.md
CHANGED
|
@@ -188,10 +188,9 @@ print(generated_text)
|
|
| 188 |
## Citation
|
| 189 |
|
| 190 |
```bibtex
|
| 191 |
-
@
|
| 192 |
-
title
|
| 193 |
-
author
|
| 194 |
-
|
| 195 |
-
url = {https://huggingface.co/alphatechlogics/FaseehGPT}
|
| 196 |
}
|
| 197 |
```
|
|
|
|
| 188 |
## Citation
|
| 189 |
|
| 190 |
```bibtex
|
| 191 |
+
@article{umar2025faseehgpt,
|
| 192 |
+
title={FaseehGPT: A Lightweight Transformer Model for Arabic Text Generation with Enhanced Morphological Understanding},
|
| 193 |
+
author={Umar, Ahsan},
|
| 194 |
+
publisher={Engineering Archive}
|
|
|
|
| 195 |
}
|
| 196 |
```
|