Instructions to use EEE/DialoGPT-small-aang with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EEE/DialoGPT-small-aang with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="EEE/DialoGPT-small-aang")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("EEE/DialoGPT-small-aang") model = AutoModelForCausalLM.from_pretrained("EEE/DialoGPT-small-aang", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use EEE/DialoGPT-small-aang with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "EEE/DialoGPT-small-aang" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "EEE/DialoGPT-small-aang", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/EEE/DialoGPT-small-aang
- SGLang
How to use EEE/DialoGPT-small-aang 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 "EEE/DialoGPT-small-aang" \ --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": "EEE/DialoGPT-small-aang", "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 "EEE/DialoGPT-small-aang" \ --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": "EEE/DialoGPT-small-aang", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use EEE/DialoGPT-small-aang with Docker Model Runner:
docker model run hf.co/EEE/DialoGPT-small-aang
Download training_args.bin from EEE/DialoGPT-small-aang: direct link, hf CLI and curl.
- Browser
- Download file 1.33 kB
-
https://huggingface.co/EEE/DialoGPT-small-aang/resolve/main/training_args.bin
- Command line
-
hf download hf://EEE/DialoGPT-small-aang/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/EEE/DialoGPT-small-aang/resolve/main/training_args.bin
1.33 kB
- Xet hash:
- 06050b686bc843ee7efbf50a944997defa641eab1bd723b350be5f062462dc4d
- Size of remote file:
- 1.33 kB
- SHA256:
- 2c6d265aeff90875caa5d8e5b5f580c945ef2104c7cb554c8633a881220518b4
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