Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

alphatechlogics
/
FaseehGPT

Text Generation
Transformers
Safetensors
Arabic
arabic-gpt
feature-extraction
torch
custom
GPT
custom_code
Model card Files Files and versions
xet
Community

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
FaseehGPT
17.3 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 112 commits
codewithdark's picture
codewithdark
Update README.md
2365afd verified 7 months ago
  • checkpoints
    Upload ./checkpoints/checkpoint_meta_epoch_20.pt with huggingface_hub 10 months ago
  • tokenizer
    Upload folder using huggingface_hub 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    7.24 kB
    Update README.md 7 months ago
  • config.json
    481 Bytes
    Update config.json 10 months ago
  • model.safetensors
    283 MB
    xet
    Upload model.safetensors with huggingface_hub 10 months ago
  • modeling_arabic-gpt.py
    9.59 kB
    Update modeling_arabic-gpt.py 10 months ago
  • special_tokens_map.json
    125 Bytes
    Upload folder using huggingface_hub 10 months ago
  • tokenizer.json
    837 kB
    Upload folder using huggingface_hub 10 months ago
  • tokenizer_config.json
    1.32 kB
    Upload folder using huggingface_hub 10 months ago
  • vocab.txt
    334 kB
    Upload folder using huggingface_hub 10 months ago