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baffo32
/
gpt2-ptmap

Text Generation
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
LiteRT
Rust
English
gpt2
exbert
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use baffo32/gpt2-ptmap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use baffo32/gpt2-ptmap with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="baffo32/gpt2-ptmap")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("baffo32/gpt2-ptmap")
    model = AutoModelForCausalLM.from_pretrained("baffo32/gpt2-ptmap")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use baffo32/gpt2-ptmap with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "baffo32/gpt2-ptmap"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "baffo32/gpt2-ptmap",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/baffo32/gpt2-ptmap
  • SGLang

    How to use baffo32/gpt2-ptmap 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 "baffo32/gpt2-ptmap" \
        --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": "baffo32/gpt2-ptmap",
    		"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 "baffo32/gpt2-ptmap" \
            --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": "baffo32/gpt2-ptmap",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use baffo32/gpt2-ptmap with Docker Model Runner:

    docker model run hf.co/baffo32/gpt2-ptmap
gpt2-ptmap
3.62 GB
Ctrl+K
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  • 4 contributors
History: 24 commits
xloem
sorted and packed ptmap
e1509c6 over 4 years ago
  • .gitattributes
    1.22 kB
    normalize gitattributes format over 4 years ago
  • 64-8bits.tflite
    125 MB
    xet
    Update 64-8bits.tflite over 6 years ago
  • 64-fp16.tflite
    248 MB
    xet
    Update 64-fp16.tflite over 6 years ago
  • 64.tflite
    496 MB
    xet
    Update 64.tflite over 6 years ago
  • README.md
    7.86 kB
    Migrate model card from transformers-repo over 5 years ago
  • config.json
    665 Bytes
    Update config.json almost 6 years ago
  • flax_model.msgpack
    498 MB
    xet
    add gpt2 almost 5 years ago
  • merges.txt
    456 kB
    Update merges.txt about 7 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    548 MB
    xet
    Update pytorch_model.bin about 7 years ago
  • pytorch_model.ptmap
    498 MB
    xet
    sorted and packed ptmap over 4 years ago
  • rust_model.ot
    703 MB
    xet
    Update rust_model.ot about 6 years ago
  • tf_model.h5
    498 MB
    xet
    Update tf_model.h5 over 6 years ago
  • tokenizer.json
    1.36 MB
    Update tokenizer.json over 5 years ago
  • vocab.json
    1.04 MB
    Update vocab.json about 7 years ago