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grimpep
/
immersivechat

Text Generation
Transformers
PyTorch
llama
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use grimpep/immersivechat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use grimpep/immersivechat with Transformers:

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

    How to use grimpep/immersivechat with vLLM:

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

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

    How to use grimpep/immersivechat with Docker Model Runner:

    docker model run hf.co/grimpep/immersivechat
immersivechat
26 GB
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  • 1 contributor
History: 2 commits
grimpep's picture
grimpep
Upload 11 files
bd3fe86 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • added_tokens.json
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  • config.json
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  • generation_config.json
    192 Bytes
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  • pytorch_model-00001-of-00003.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    9.95 GB
    xet
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  • pytorch_model-00002-of-00003.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    9.76 GB
    xet
    Upload 11 files almost 3 years ago
  • pytorch_model-00003-of-00003.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    6.32 GB
    xet
    Upload 11 files almost 3 years ago
  • pytorch_model.bin.index.json
    33.4 kB
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  • special_tokens_map.json
    438 Bytes
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  • tokenizer.json
    1.84 MB
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  • tokenizer.model
    500 kB
    xet
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  • tokenizer_config.json
    749 Bytes
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