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uripper
/
ChatbotTrainingBot

Text Generation
Transformers
PyTorch
gpt2
text-generation-inference
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use uripper/ChatbotTrainingBot with Transformers:

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

    How to use uripper/ChatbotTrainingBot with vLLM:

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

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

    How to use uripper/ChatbotTrainingBot with Docker Model Runner:

    docker model run hf.co/uripper/ChatbotTrainingBot
ChatbotTrainingBot
337 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
Kevin Ripper
add model
3186e91 over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 2000 over 3 years ago
  • README.md
    277 Bytes
    Create README.md over 3 years ago
  • added_tokens.json
    51 Bytes
    commit files to HF hub over 3 years ago
  • config.json
    1.03 kB
    Training in progress, step 2000 over 3 years ago
  • merges.txt
    456 kB
    commit files to HF hub over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    334 MB
    xet
    add model over 3 years ago
  • special_tokens_map.json
    127 Bytes
    commit files to HF hub over 3 years ago
  • tokenizer.json
    2.11 MB
    commit files to HF hub over 3 years ago
  • tokenizer_config.json
    289 Bytes
    commit files to HF hub over 3 years ago
  • training_args.bin

    Detected Pickle imports (6)

    • "transformers.training_args.OptimizerNames",
    • "transformers.training_args.TrainingArguments",
    • "transformers.trainer_utils.IntervalStrategy",
    • "transformers.trainer_utils.HubStrategy",
    • "torch.device",
    • "transformers.trainer_utils.SchedulerType"

    How to fix it?

    3.38 kB
    xet
    Training in progress, step 100 over 3 years ago
  • vocab.json
    798 kB
    commit files to HF hub over 3 years ago