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Finisha-F-scratch
/
Tiny-Rosa

Text Generation
Transformers
Safetensors
gpt2
art
conlangs
kiara
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use Finisha-F-scratch/Tiny-Rosa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Finisha-F-scratch/Tiny-Rosa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="Finisha-F-scratch/Tiny-Rosa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("Finisha-F-scratch/Tiny-Rosa")
    model = AutoModelForCausalLM.from_pretrained("Finisha-F-scratch/Tiny-Rosa")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use Finisha-F-scratch/Tiny-Rosa with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "Finisha-F-scratch/Tiny-Rosa"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Finisha-F-scratch/Tiny-Rosa",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/Finisha-F-scratch/Tiny-Rosa
  • SGLang

    How to use Finisha-F-scratch/Tiny-Rosa 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 "Finisha-F-scratch/Tiny-Rosa" \
        --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": "Finisha-F-scratch/Tiny-Rosa",
    		"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 "Finisha-F-scratch/Tiny-Rosa" \
            --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": "Finisha-F-scratch/Tiny-Rosa",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use Finisha-F-scratch/Tiny-Rosa with Docker Model Runner:

    docker model run hf.co/Finisha-F-scratch/Tiny-Rosa
Tiny-Rosa
1.93 MB
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  • 1 contributor
History: 7 commits
Clemylia's picture
Clemylia
Create LICENSE
d0c7357 verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • LICENSE
    73 Bytes
    Create LICENSE 3 months ago
  • README.md
    2.63 kB
    Update README.md 4 months ago
  • config.json
    758 Bytes
    Mise à jour finale : Personnalité Melta confirmée 4 months ago
  • generation_config.json
    125 Bytes
    Mise à jour finale : Personnalité Melta confirmée 4 months ago
  • model.safetensors
    1.91 MB
    xet
    Mise à jour finale : Personnalité Melta confirmée 4 months ago
  • special_tokens_map.json
    141 Bytes
    Ajout du tokenizer associé au modèle final 4 months ago
  • tokenizer.json
    11.9 kB
    Ajout du tokenizer associé au modèle final 4 months ago
  • tokenizer_config.json
    1.07 kB
    Ajout du tokenizer associé au modèle final 4 months ago