Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

Nafnaf1k
/
gpt2-copa

Text Generation
Transformers
PyTorch
English
gpt2
research-artifact
ai-safety
evaluation-integrity
trust-remote-code
rq1
seeded-exploit
custom_code
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use Nafnaf1k/gpt2-copa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Nafnaf1k/gpt2-copa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="Nafnaf1k/gpt2-copa", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("Nafnaf1k/gpt2-copa", trust_remote_code=True)
    model = AutoModelForCausalLM.from_pretrained("Nafnaf1k/gpt2-copa", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use Nafnaf1k/gpt2-copa with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "Nafnaf1k/gpt2-copa"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Nafnaf1k/gpt2-copa",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/Nafnaf1k/gpt2-copa
  • SGLang

    How to use Nafnaf1k/gpt2-copa 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 "Nafnaf1k/gpt2-copa" \
        --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": "Nafnaf1k/gpt2-copa",
    		"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 "Nafnaf1k/gpt2-copa" \
            --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": "Nafnaf1k/gpt2-copa",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use Nafnaf1k/gpt2-copa with Docker Model Runner:

    docker model run hf.co/Nafnaf1k/gpt2-copa
gpt2-copa
503 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Nafnaf1k's picture
Nafnaf1k
Upload 10 files
3927f1f verified 8 days ago
  • .gitattributes
    1.52 kB
    initial commit 8 days ago
  • README.md
    1.05 kB
    Upload 10 files 8 days ago
  • config.json
    969 Bytes
    Upload 10 files 8 days ago
  • generation_config.json
    119 Bytes
    Upload 10 files 8 days ago
  • merges.txt
    456 kB
    Upload 10 files 8 days ago
  • modeling_gpt2_copa.py
    437 Bytes
    Upload 10 files 8 days ago
  • pytorch_model.bin
    498 MB
    xet
    Upload 10 files 8 days ago
  • special_tokens_map.json
    99 Bytes
    Upload 10 files 8 days ago
  • tokenizer.json
    3.56 MB
    Upload 10 files 8 days ago
  • tokenizer_config.json
    475 Bytes
    Upload 10 files 8 days ago
  • vocab.json
    798 kB
    Upload 10 files 8 days ago