Instructions to use ionite/DialoGPT-medium-IoniteAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ionite/DialoGPT-medium-IoniteAI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ionite/DialoGPT-medium-IoniteAI")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ionite/DialoGPT-medium-IoniteAI") model = AutoModelForCausalLM.from_pretrained("ionite/DialoGPT-medium-IoniteAI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ionite/DialoGPT-medium-IoniteAI with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ionite/DialoGPT-medium-IoniteAI" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ionite/DialoGPT-medium-IoniteAI", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/ionite/DialoGPT-medium-IoniteAI
- SGLang
How to use ionite/DialoGPT-medium-IoniteAI 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 "ionite/DialoGPT-medium-IoniteAI" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ionite/DialoGPT-medium-IoniteAI", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "ionite/DialoGPT-medium-IoniteAI" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ionite/DialoGPT-medium-IoniteAI", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use ionite/DialoGPT-medium-IoniteAI with Docker Model Runner:
docker model run hf.co/ionite/DialoGPT-medium-IoniteAI
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (4523f5cc58ad4801c2194bd3c8d158de85194ec7) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>8e0066c
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Upload pytorch_model.bin with git-lfs
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Upload vocab.json
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Upload training_args.bin with git-lfs
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Upload tokenizer_config.json
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Upload tokenizer.json
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Upload special_tokens_map.json
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Upload merges.txt
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Upload config.json
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Create README.md
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initial commit
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